Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling

Justus Isaiah Hibshman; Daniel Gonzalez; Satyaki Sikdar; Tim Weninger

doi:10.1145/3437963.3441817

Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling

Justus Isaiah Hibshman, Daniel Gonzalez, Satyaki Sikdar, Tim Weninger

University of Notre Dame

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining
Publisher	Association for Computing Machinery, Inc
Pages	815-823
Number of pages	9
ISBN (Electronic)	9781450382977
DOIs	https://doi.org/10.1145/3437963.3441817
State	Published - Aug 3 2021
Externally published	Yes
Event	14th ACM International Conference on Web Search and Data Mining, WSDM 2021 - Virtual, Online, Israel Duration: Mar 8 2021 → Mar 12 2021

Publication series

Name	WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining

Conference

Conference	14th ACM International Conference on Web Search and Data Mining, WSDM 2021
Country/Territory	Israel
City	Virtual, Online
Period	3/8/21 → 3/12/21

ASJC Scopus Subject Areas

Computer Networks and Communications
Computer Science Applications
Software

Keywords

graphs
link prediction
subgraphs
triadic closure

Access to Document

10.1145/3437963.3441817

Cite this

Hibshman, J. I., Gonzalez, D., Sikdar, S., & Weninger, T. (2021). Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. In WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining (pp. 815-823). (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining). Association for Computing Machinery, Inc. https://doi.org/10.1145/3437963.3441817

Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. / Hibshman, Justus Isaiah; Gonzalez, Daniel; Sikdar, Satyaki et al.
WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, 2021. p. 815-823 (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hibshman, JI, Gonzalez, D, Sikdar, S & Weninger, T 2021, Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. in WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, Association for Computing Machinery, Inc, pp. 815-823, 14th ACM International Conference on Web Search and Data Mining, WSDM 2021, Virtual, Online, Israel, 3/8/21. https://doi.org/10.1145/3437963.3441817

Hibshman JI, Gonzalez D, Sikdar S, Weninger T. Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. In WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc. 2021. p. 815-823. (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining). doi: 10.1145/3437963.3441817

Hibshman, Justus Isaiah ; Gonzalez, Daniel ; Sikdar, Satyaki et al. / Joint Subgraph-to-Subgraph Transitions : Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling. WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, 2021. pp. 815-823 (WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining).

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Joint Subgraph-to-Subgraph Transitions: Generalizing Triadic Closure for Powerful and Interpretable Graph Modeling

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this