Transactions on Graph Data and Knowledge (TGDK)

Editorial Board

Editors in Chief

• Aidan Hogan IMFD; DCC, University of Chile, Chile
• Andreas Hotho University of Würzburg, Germany
• Lalana Kagal Massachusetts Institute of Technology, U.S.
• Uli Sattler University of Manchester, U.K.

Former Editor in Chief

• Ian Horrocks University of Oxford, U.K.

Advisory Board Members

• Abraham Bernstein University of Zurich, Switzerland
• Tim Finin University of Maryland, Baltimore County, U.S.
• Carole Goble University of Manchester, U.K.
• James Hendler Rensselaer Polytechnic Institute, U.S.
• Ian Horrocks University of Oxford, U.K.
• Steffen Staab University of Stuttgart / University of Southampton, Germany / U.K.

Associate Editors

• Marcelo Arenas IMFD, Pontificia Universidad Católica de Chile, Chile
• Christian Bizer Universität Mannheim, Germany
• Eva Blomqvist Linköping Universitet, Sweden
• Angela Bonifati Lyon 1 University, France
• Jiaoyan Chen University of Manchester, U.K.
• Gong Cheng Nanjing University, China
• Oscar Corcho Universidad Politécnica de Madrid, Spain
• Claudia d'Amato Università degli Studi di Bari, Italy
• Gerard de Melo HPI, University of Potsdam, Germany
• Emanuele Della Valle Politecnico di Milano, Italy
• Gianluca Demartini University of Queensland, Australia
• George Fletcher Eindhoven University of Technology, the Netherlands
• Bernardo Cuenca Grau University of Oxford, U.K.
• Olaf Hartig Linköping University, Sweden
• Janna Hastings University of Zurich, Switzerland
• Katja Hose TU Wien, Austria
• Wei Hu Nanjing University, China
• Ernesto Jimenez-Ruiz City University of London, U.K.
• C. Maria Keet University of Cape Town, South Africa
• Markus Krötzsch Technische Universität Dresden, Germany
• Wim Martens University of Bayreuth, Germany
• Jeff Pan University of Edinburgh, U.K.
• Catia Pesquita University of Lisbon, Portugal
• Dimitris Plexousakis University of Crete, Greece
• Axel Polleres Vienna University of Economics & Business, Austria
• Guilin Qi Southeast University, China
• Juan Reutter IMFD, Pontificia Universidad Católica de Chile, Chile
• Sebastian Rudolph Technische Universität Dresden, Germany
• Harald Sack FIZ Karlsruhe / KIT Karlsruhe, Germany
• Ansgar Scherp Ulm University, Germany
• Giorgos Stamou National Technical University of Athens, Greece
• Gerd Stumme Universität Kassel, Germany
• Vojtěch Svátek Prague University of Economics and Business, Czechia
• Hideaki Takeda National Institute of Informatics, Japan
• Valentina Tamma University of Liverpool, U.K.
• Kerry Taylor Australian National University, Australia
• Maria Vanina Martínez Universidad Nacional del Sur, Argentina
• Maria-Esther Vidal TIB, University of Hannover, Germany
• Kewen Wang Griffith University, Australia

Editorial Board Members

• João Paulo A. Almeida Federal University of Espírito Santo, Brazil
• Rabeeh Abbasi Quaid-i-Azam University, Pakistan
• Shqiponja Ahmetaj TU Wien, Austria
• Rafael Berlanga Llavori Universitat Jaume I, Spain
• Pieter Bonte Ghent University - imec, Belgium
• Jean-Paul Calbimonte University of Applied Sciences and Arts Western Switzerland, Switzerland
• David Carral LIRMM, Inria, University of Montpellier, CNRS, France
• Irene Celino CEFRIEL, Politecnico de Milano, Italy
• Shruthi Chari Rensselaer Polytechnic Institute, U.S.
• Michael Cochez Vrije Universiteit Amsterdam, the Netherlands
• Daniele Dell'Aglio Aalborg University, Denmark
• Stefan Dietze GESIS - Leibniz Institute for the Social Sciences, Germany
• Anastasia Dimou KU Leuven, Belgium
• Hang Dong University of Exeter, U.K.
• Mauro Dragoni Fondazione Bruno Kessler, Italy
• Stefania Dumbrava Ecole Nationale Supérieure d'Informatique pour l'Industrie et l'Entreprise, France
• Lorena Etcheverry Universidad de la República, Uruguay
• David Eyers University of Otago, New Zealand
• Catherine Faron-Zucker University of Nice Sophia Antipolis, France
• Sebastián Ferrada DCC, Universidad de Chile, Chile
• Daniel Garijo Universidad Politécnica de Madrid, Spain
• Stefano Germano University of Oxford, U.K
• Martin Giese University of Oslo, Norway
• Paul Groth University of Amsterdam, the Netherlands
• Tudor Groza European Bioinformatics Institute, U.K.
• Claudio Gutiérrez IMFD; DCC, University of Chile, Chile
• Andreas Harth Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
• Jan Hidders Birbeck, University of London, U.K.
• Jason J. Jung Chung Ang University, Republic of Korea
• Lucie-Aimée Kaffee University of Copenhagen, Denmark
• Haklae Kim Jungang University, Republic of Korea
• Jin-Dong Kim Database Center for Life Sciences, Japan
• Sabrina Kirrane Vienna University of Economics & Business, Austria
• Tomáš Kliegr Prague University of Economics and Business, Czechia
• Petr Křemen cognizone bv, Belgium and Czech Technical University in Prague, Czechia
• Adila A. Krisnadhi Krisnadhi Universitas Indonesia, Indonesia
• Jose Emilio Labra Gayo WESO Lab, University of Oviedo, Spain
• Christoph Lange Fraunhofer Institute for Applied Information Technology (FIT), Germany
• Matteo Lissandrini University of Verona, Italy
• Vanessa Lopez IBM Research Dublin, Ireland
• Agnieszka Ławrynowicz Poznan University of Technology, Poland
• Louis Mahon University of Edinburgh, U.K.
• David Martin Wikimedia Foundation, U.S.
• Amine Mhedhbi Polytechnique Montréal, Canada
• Pierre Monnin Université Côte d’Azur, Inria, CNRS, I3S, France
• Filip Murlak University of Warsaw, Poland
• Martin Nečaský Charles University in Prague, Czechia
• Magdalena Ortiz TU Wien, Austria
• Ana Ozaki University of Bergen, Norway
• Matteo Palmonari University of Milano-Bicocca, Italy
• Peter F. Patel-Schneider U.S.
• Heiko Paulheim Universität Mannheim, Germany
• Rafael Peñaloza University of Milano-Bicocca, Italy
• Giuseppe Pirrò Sapienza University of Roma, Italy
• Simon Razniewski Bosch Center for AI, Germany
• Anisa Rula University of Brescia, Italy
• Stefan Schlobach Vrije Universiteit Amsterdam, the Netherlands
• Oshani Seneviratne Rensselaer Polytechnic Institute, U.S.
• Juan Sequeda data.world, U.S.
• Miguel-Angel Sicilia University of Alcalá, Spain
• Ahmet Soylu Oslo Metropolitan University, Norway
• Lise Stork University of Amsterdam, the Netherlands
• Riccardo Tommasini Institut National des Sciences Appliquées, Lyon, France
• Diego Torres LIFIA, Universidad Nacional de La Plata, Argentina
• Cassia Trojahn Université Toulouse 2 Jean-Jaurès, France
• Ricardo Usbeck Leuphana University Lüneburg, Germany
• Edlira Vakaj Birmingham City University, U.K.
• Ruben Verborgh Ghent University, Belgium
• Wen Zhang Zhejiang University, China
• Xiaowang Zhang Tianjin University, China
• Antoine Zimmermann École des Mines de Saint-Étienne, France

Constitution

Editors-in-Chief will serve for a maximum four-year term. TGDK will maintain four Editors-in-Chief throughout by electing a new person to the role each year. The new Editor-in-Chief will be chosen via (1) a candidate proposal process that will select from Associate Editors; (2) a vote amongst current Editors-in-Chief and an Advisory Board. The most senior Editor-in-Chief (longest serving) will have a casting vote in the case of a tie. More than one gender and continent must always be represented among the active Editors-in-Chief, which will be enforced, if necessary, during the candidate selection phase (ensuring that no matter the candidate chosen, these restrictions will be satisfied).

The TGDK Editorial Board consists of Associate Editors and Editorial Board Members. Associate Editors are primarily tasked with finding reviewers for submissions, preparing meta-reviews, and sending their recommended decisions to the Editors-in-Chief based on the reviews received. Editorial Board Members are principally tasked with providing high-quality and timely reviews for submissions. External reviewers may also be invited to review papers, as necessary. Aside from their contributions via the peer review process, Associate Editors and Editorial Board Members jointly support the journals in other ways: providing feedback through regular meetings on the directions of the journal, proposing and organizing Special Issues for the journal, organizing and participating in meet-ups at relevant conferences, etc. All Editorial Board members and Associate Editors will serve four year terms, with the possibility of up to two renewals in this particular role.

Aside from the Editorial Board members, Associate Editors and Editors-in-Chief, TGDK will also have Advisory Board members, and Executive Board members. Advisory Board members are senior academics in the community who are broadly experienced in academic matters, in running journals, etc. At most eight people will serve on the Advisory Board and each member serves for at most an eight year (non-renewable) term. When an Editor-in-Chief reaches the end of their term limit, or retires for other reasons, they will be invited to join the Advisory Board; the longest-serving Advisory Board member will retire, if necessary, to make room. The Advisory Board will meet with the Editors-in-Chief once a year (possibly a virtual meeting) to review the past year of the TGDK journal and to discuss future plans and strategies.

The Executive Board of TGDK is then the combination of the Advisory Board and the active Editors- in-Chief of the journal. Based on the term limits of four years for Editors-in-Chief and eight years for Advisory Board members, the implied term limit for the Executive Board is twelve years.

Review Criteria

Review Process

Regular Call for Papers

(Here we provide the Regular Call for Papers. See also our list of Special Issues open for submissions.)

Transactions on Graph Data and Knowledge is an Open Access journal that publishes research contributions relating to the use of graphs for data and knowledge management. Such contributions may be experimental or theoretical in nature, where submissions that combine both aspects are particularly welcome. The journal thus welcomes submissions from research communities – such as Graph Analytics and Algorithms, Graph Databases, Graph Representation Learning, Knowledge Graphs, Semantic Web – that provide novel insights into the use of graphs for generating, representing and managing data and knowledge. Likewise contributions relating to the use of graphs in the context of Big Data, Data Integration, Data Science, Information Extraction, Information Retrieval, Knowledge Representation, Machine Learning, Natural Language Processing, etc., are welcome.

We welcome the following types of submissions:

• Research Articles present novel research contributions that advance the state-of-the-art in their respective area. They are reviewed based on novelty, relevance, impact, technical soundness, reproducibility and clarity.
• Survey Articles present a novel, systematic and comprehensive synthesis of published research works within a chosen scope. They are reviewed based on novelty, relevance, scope, completeness and clarity.
• Resource Articles (please see detailed description) present a detailed description of a resource relevant in a research context; key examples include a benchmark, knowledge graph, online system, ontology, specification, tool, etc. They are reviewed based on novelty, relevance, clarity, technical soundness, impact and resoure quality. We solicit two types of resource submissions:
  • Mature resources that have already enjoyed significant adoption by third parties.
  • Emerging resources that have only recently been made available, but that provide novel scientific results.

Topics in-scope for the journal include, but are not limited to, research relating to graph data & knowledge in the context of:

Submissions on other research topics where graphs play a central role as a representation for data or knowledge are also welcome.

As a Diamond Open Access journal, official versions of accepted papers (as accessible via DOI) are published and made available for free online without fees for authors nor readers.

Resource Articles

Resources play an essential role in various aspects of Computer Science research. In the context of Graph Data & Knowledge, such resources may include benchmarks, datasets, engines, frameworks, interfaces, knowledge graphs, languages, ontologies, pre-trained models, software libraries, standards, tools, user logs, web applications and services, etc. Unfortunately, despite the advances that such resources enable, the work invested into creating and maintaining them is often undervalued in a research setting.

Transactions on Graph Data and Knowledge (TGDK) solicits journal articles that describe in detail a resource relevant to research on Graph Data & Knowledge per the topics described in TGDK’s Call for Papers. Specifically, we solicit articles describing two types of resources:

• Mature resources that have already enjoyed significant adoption by third parties (not sharing an affiliation with those involved in creating or maintaining the resource). Such adoption may be in, for example, the context of research, industry or a specific user community. Conversely, it is not necessary for submissions to present a novel research contribution (e.g., to explore a novel hypothesis, to present novel experiments, to prove a novel theorem, etc.).
• Emerging resources that have only recently been made available, but that provide novel scientific results. An example of such a resource could be, for example, a bespoke benchmark that gains novel insights into the performance of state-of-the-art tools on a specific task. The scientific contribution of the emerging resource must be made explicit, and the associated results presented in a manner enabling reproducibility.

We require that resource articles submitted to TGDK be written primarily by those involved in the creation and/or maintenance of the resource described. We further require—unless otherwise strongly justified by the submission, e.g., for ethical or legal reasons—that the resource be made available on the Web following best practices prior to submission, that it be linked from the submission, and that it be made available for third-party research works under an open license.

In case you have any doubts about the suitability of a particular article or resource for this call, please contact the Editors-in-Chief.

Content

Though there are no fixed upper or lower page limits, we expect submissions to this Call to be in the range of 10–20 pages using TGDK’s single column LaTeX template (see Author Instructions). We expect submissions to describe (at least) the rationale behind the creation of the resource, a technical description of the resource, the relevance to Graph Data & Knowledge, key statistics or other metadata underlying the resource and its adoption, how the resource is made available (including location, licensing, best practices adopted, etc.), how the sustainability of the resource is assured (for example, in terms of how it is published, how often it is updated, the community supporting it), an assessment of the limitations of the resource, and future directions for the resource. Descriptions of mature resources must also include a survey of how the resource is being used by third-parties. Descriptions of emerging resources must also describe novel scientific results gained through the use of the resource. Additional material to help validate the novelty, value or quality of the resource is also welcome, including experiments, theorems, etc.

In case the resource has been described in a previous publication, we expect the submission to cite this previous publication, and to clearly indicate the advances made since that prior publication as described by the current submission. Pre-prints with informal publication (e.g., on arXiv) do not count as a previous publication; in other words, we welcome submissions based on articles that have only been informally published as pre-prints. We do not accept submissions that are under review elsewhere.

Review Criteria

Submissions will undergo a standard peer review process, but will be subject to distinctive criteria, as follows:

• Novelty: The submission must describe a novel resource that adds value over other available resources; if a previous submission has been published about the resource, we expect the submission to describe substantial novel features.
• Relevance: The topic of the submission must be relevant to TGDK's research scope, as described in the Call for Papers.
• Clarity: The submission must be well-written, understandable, self-contained, accessible and contain all of the details required by this Call.
• Technical soundness: The submission must be technically sound, and the resource described must be technically sound.
• Impact: The submission must describe a resource that has generated substantial impact. In the case of mature resources, impact is measured through the adoption and use of the resource by third parties, as described in the article. In the case of emerging resources, impact is measured by the scientific insights that the resource provides, as described in the article.
• Resource quality: Reviewers will be asked to look over the resource itself: to ensure that it is available, well-documented, technically sound, licensed, sustainable, of high quality, follows best practices, conforms to what is described in the submission, etc.

Publication

As a Diamond Open Access journal, official versions of accepted TGDK articles (as accessible via DOI) are published by Dagstuhl Publishing and made available for free online without fees for authors nor readers. Dagstuhl Publishing also provides means to publish resources, which can be used by authors to ensure the long-term sustainability and archiving of their work. Upon acceptance of the publication, we may request additional metadata about the resource from the authors (contributors, web location, documentation, version info, licensing, etc.).

Special Issues

The following special issues are currently open for submissions:

• Special Issue: Autonomous Systems and Knowledge Graphs

The following special issues are closed for submissions:

• Special Issue: Resources

Special Issue

Special Issue

Special Issue Proposals

Proposals

• Two or more people who will serve as the SI Guest Editors and work with the TGDK Editors-in-Chief and/or an Associate Editor to produce the issue. A short biography should be submitted for each. Please select one Guest Editor to be the lead point of contact.
• A concise description of the SI topic along with a justification of why an SI is appropriate at this time.
• A description of the research communities that the SI will draw from or be of interest to.
• Any papers or authors that the SI Guest Editors intend to invite.
• Any constraints or preferences for publication date.

Proposals should be sent to the Editors-in-Chief via email to tgdk@dagstuhl.de.

Timeline

Submissions

All SIs must have an open call for submissions to which members of the research community can respond by submitting papers. The SI Guest Editors are free, of course, to invite submissions. The SI Guest Editors will be expected to advertise the call in appropriate venues.

To avoid the appearance of a conflict of interest, the SI Guest Editors are expected not to submit papers to the SI or be a co-author on papers submitted. They are free, of course, to submit papers on the SI topic as regular papers to the journal.

Review Process

All papers, whether invited or submitted to a Special Issue, will undergo the same thorough review process used for regular papers submitted to the journal. This normally involves seeking reviews from three qualified reviewers. The SI Guest Editors will be responsible for recruiting potential reviewers prior to the submission due date and ensuring that their reviews are done in a timely manner and are of high quality.

The submission and review process must be carried out using the standard journal platform as indicated by the EiCs. This includes accepting initial submissions, recruiting and assigning reviewers, entering reviews, issuing decisions, submitting revised version and providing the final version of accepted papers.

When submissions are received, the SI Guest Editors should examine the papers to ensure that they are within scope, of appropriate length, and meet minimum standards for organization and readability. Papers that fail any of these criteria should be rejected without review by the SI Guest Editors. Papers that meet the criteria should be assigned to three reviewers, who should be given four to eight weeks to complete their reviews. After all of the reviews for a paper are completed, the SI Guest Editors should decide on one of the following results:

• Reject: The paper will not be considered further.
• Major revision: The paper requires significant changes before it can be accepted. These might include additional discussion, sections, analyses of data or even further experiments. If and when a revision is submitted it should be sent back to the original reviewers who will enter new reviews, typically within one month. When all of the reviews are in, the SI editors should then decide on one of reject, minor revision or accept, i.e., a second major revision decision should not be made.
• Minor revision: Relatively small changes are required before the paper is accepted. When a revised version is received, the SI editors will review the paper to ensure that the changes were made rather than sending it back to the original reviewers.
• Accept: The paper is accepted as is and requires no additional changes.

Final decisions of accepted papers must be approved by an EiC.

Instructions for SI Guest Editors

1. It is worthwhile to do a first check with respect to the quality of the papers submitted. It is our experience that 25% or more of the paper submissions are outside the scope of SI or are of such low quality that it is not worthwhile to hand them over to reviewers. In such cases we suggest that you skim the paper and give two or three concrete reasons why the paper will not be acceptable by any means in its current form. This is sufficient to reject such papers. If the paper is outside the SI scope but looks to be of reasonable quality and within the scope of the journal, you can suggest that the authors consider re-submitting it as a regular paper.
2. For all other papers we expect three detailed reviews. If you have a particularly expert reviewer in mind who might be overburdened with other tasks you might consider adding a fourth review to increase the chances of getting three reviews in time.
3. For SI's we expect the following cycle:
   1. Original submission by authors: Papers are classified by SI Guest Editors as reject (frequent), major revision (frequent), minor revision (occasional), or accept (rare).
   2. Major changes by authors: The paper must be re-reviewed by the reviewers to see whether it is now acceptable. Sometimes reviewers have the opinion that papers can only get better and hence their judgement can only go up (e.g. from major to minor revision). This is of course wrong, if authors fail to meet expectations by reviewers a paper may have to be rejected after a major revision.
   3. Minor revision: These changes should usually be checkable by SI Guest Editors. If a paper is basically accepted and trivial changes are to be applied (e.g. typo correction), then a paper must not be classified as "accept" but rather as minor revision.
   4. Accept: From here on the paper goes into production for publication. Authors no longer have the possibility to change the paper, they can only correct mistakes inadvertently introduced via proofs supplied in the paper production process.
   EiCs usually accept SI Guest Editor decisions, but we keep an eye on all decisions with the following objectives:
   1. To have a process and decisions that are as transparent to authors as possible
   2. To not have decisions that are in stark contrast with reviewers' opinion – unless explained otherwise.
4. Submission and acceptance rates: We do not enforce any kind of acceptance rate on SIs but we enforce high quality. The acceptance rate may depend on the maturity of the sub-community, the perceived breadth of the topic, and whether the call is likely to attract off-topic papers.
5. We try to publish SI papers in a shorter time span. It can happen that a paper is very worthwhile, but needs a longer time for changes. In this case, rather than reject it, there is the option to redirect it to a normal issue of the journal under the rationale that we do not want to turn away good papers.
6. If any question remains unanswered please to not hesitate to get in touch with us at: tgdk@dagstuhl.de

Submissions

To submit to TGDK, please proceed according to the following instructions:

• Format your submission according to the LaTeX template available below. Please note that the review process is single anonymous, meaning that you should include the names of authors.
• Include ORCID identifiers for each author. In case you don't have an ORCID yet, please request one on the ORCID website. Please contact your co-authors directly for their ORCID and only use ORCIDs verified by them.
• Ensure to include DOIs for paper references where available.
• Submit your paper on our submission platform (this may require creating an account if you do not have one already). Be sure to select the correct submission type under “Section” (including Special Issue, if applicable).

Templates and Example Files

Please download the current version of the TGDK style along with an example file and detailed author instructions:

For older releases and an issue tracker, see our GitHub archive.

Typesetting instructions - Summary

Transactions on Graph Data and Knowledge is a Diamond Open Access journal that publishes research contributions relating to the use of graphs for data and knowledge management.

Please comply with the following instructions when preparing your article for TGDK. (See Instructions for Authors for more details.)

Minimum requirements

• Use pdflatex and an up-to-date LaTeX system.
• Use further LaTeX packages and custom made macros carefully and only if required.
• Use the provided sectioning macros: \section, \subsection, \subsubsection, \paragraph, \paragraph*, and \subparagraph*.
• Provide suitable graphics of at least 300dpi (preferably in PDF format).
• Use BibTeX and keep the standard style (\bibstyle{plainurl} ) for the bibliography.
• Please try to keep the warnings log as small as possible. Avoid overfull \hboxes and any kind of warnings/errors with the referenced BibTeX entries.
• Use a spellchecker to correct typos.

Mandatory metadata macros

Please set the values of the metadata macros carefully since the information parsed from these macros will be passed to publication servers, catalogues and search engines. Avoid placing macros inside the metadata macros. The following metadata macros/environments are mandatory:

• \title and, in case of long titles, \titlerunning.
• \author one for each author, even if two or more authors have the same affiliation.
• \authorrunning (abbreviated first names) and \Copyright (concatenated full author names)
• \ccsdesc (ACM 2012 subject classification)
• \keywords (a comma-separated list of keywords).
• \relatedversion (if there is a related version, typically the "full version"); please make sure to provide a persistent URL, e.g., at arXiv.
• \begin{abstract}...\end{abstract}.

Please do not ...

Generally speaking, please do not override the style defaults concerning spacing, font and color settings. To be more specific, a short checklist also used by Dagstuhl Publishing during the final typesetting is given below. In case of non-compliance with these rules, Dagstuhl Publishing will remove the corresponding parts of LaTeX code and replace it with the defaults. In serious cases, we may reject the LaTeX-source and expect the corresponding author to revise the relevant parts.

• Do not use a different main font. (For example, the times package is forbidden.)
• Do not alter the spacing of the provided style file.
• Do not use enumitem and paralist. (The enumerate package is preloaded, so you can use \begin{enumerate}[(a)] or the like.)
• Do not use "self-made" sectioning commands (e.g., \noindent{\bf My Paragraph}).
• Do not hide large text blocks using comments or \iffalse ... \fi constructions.
• Do not use conditional structures to include/exclude content. Instead, please provide only the content that should be published - in one file - and nothing else.
• Do not wrap figures and tables with text. In particular, the package wrapfig is not supported.
• Do not change the bibliography style. In particular, do not use author-year citations. (The natbib package is not supported.)

This is only a summary containing the most relevant details. Please read the complete Instructions for Authors for all details and don't hesitate to contact Dagstuhl Publishing (publishing@dagstuhl.de) in case of questions or comments.

FAQ

Submission

Author Approval

Publication Workflow

LaTeX Style

Not found?

Didn't find what you are looking for? Don't hesitate to leave us a message at publishing@dagstuhl.de!

Front Matter Template and Example Files

Please download the current version of the TGDK front matter style along with an example file:

FAQ

Submission

Author Approval

Publication Workflow

LaTeX Style

Not found?

Didn't find what you are looking for? Don't hesitate to leave us message at publishing@dagstuhl.de!

Recently published volumes

• TGDK, Vol. 2, Issue 1, TGDK, Volume 2, Issue 1 (2024): Special Issue on Trends in Graph Data and Knowledge - Part 2
  To the portal ...
  
  Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal
• TGDK, Vol. 1, Issue 1, TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge
  To the portal ...
  
  Aidan Hogan, Ian Horrocks, Andreas Hotho, and Lalana Kagal

Contact TGDK

Contact Dagstuhl Publishing