Finding Counterfactual Evidences for Node Classification

Dazhuo Qiu; Jinwen Chen; Arijit Khan; Yan Zhao; Francesco Bonchi

doi:10.1145/3711896.3736960

Finding Counterfactual Evidences for Node Classification

Dazhuo Qiu
, Jinwen Chen
, Arijit Khan
, Yan Zhao
, Francesco Bonchi

Aalborg University
University of Electronic Science and Technology of China
CENTAI
Eurecat, Technology Centre of Catalonia

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

Original language	English
Title of host publication	KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Publisher	Association for Computing Machinery
Pages	2362-2373
Number of pages	12
ISBN (Electronic)	9798400714542
DOIs	https://doi.org/10.1145/3711896.3736960
State	Published - Aug 3 2025
Externally published	Yes
Event	31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025 - Toronto, Canada Duration: Aug 3 2025 → Aug 7 2025

Publication series

Name	Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
Volume	2
ISSN (Print)	2154-817X

Conference

Conference	31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025
Country/Territory	Canada
City	Toronto
Period	8/3/25 → 8/7/25

ASJC Scopus Subject Areas

Software
Information Systems

Keywords

counterfactual evidence
graph neural networks
node classification

Access to Document

10.1145/3711896.3736960

Cite this

Qiu, D., Chen, J., Khan, A., Zhao, Y., & Bonchi, F. (2025). Finding Counterfactual Evidences for Node Classification. In KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (pp. 2362-2373). (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. 2). Association for Computing Machinery. https://doi.org/10.1145/3711896.3736960

Finding Counterfactual Evidences for Node Classification. / Qiu, Dazhuo; Chen, Jinwen; Khan, Arijit et al.
KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, 2025. p. 2362-2373 (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; Vol. 2).

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

Qiu, D, Chen, J, Khan, A, Zhao, Y & Bonchi, F 2025, Finding Counterfactual Evidences for Node Classification. in KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, vol. 2, Association for Computing Machinery, pp. 2362-2373, 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2025, Toronto, Canada, 8/3/25. https://doi.org/10.1145/3711896.3736960

Qiu D, Chen J, Khan A, Zhao Y, Bonchi F. Finding Counterfactual Evidences for Node Classification. In KDD 2025 - Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery. 2025. p. 2362-2373. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining). doi: 10.1145/3711896.3736960

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Finding Counterfactual Evidences for Node Classification

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this