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GraphSVX: Shapley Value Explanations for Graph Neural Networks.

, and . ECML/PKDD (2), volume 12976 of Lecture Notes in Computer Science, page 302-318. Springer, (2021)

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TNE: A Latent Model for Representation Learning on Networks., and . CoRR, (2018)Semi-supervised learning and graph neural networks for fake news detection., , , , , and . ASONAM, page 568-569. ACM, (2019)Influence Maximization Using Influence and Susceptibility Embeddings., , and . ICWSM, page 511-521. AAAI Press, (2020)GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs., , and . CIKM, page 2295-2296. ACM, (2018)On the Trade-off between Over-smoothing and Over-squashing in Deep Graph Neural Networks., , , and . CIKM, page 566-576. ACM, (2023)Spread it Good, Spread it Fast: Identification of Influential Nodes in Social Networks., , and . WWW (Companion Volume), page 101-102. ACM, (2015)Influence Learning and Maximization., and . ICWE, volume 12706 of Lecture Notes in Computer Science, page 547-550. Springer, (2021)A Graph Degeneracy-based Approach to Keyword Extraction., , and . EMNLP, page 1860-1870. The Association for Computational Linguistics, (2016)Clustering and community detection in directed networks: A survey, and . Physics Reports, 533 (4): 95 - 142 (2013)Clustering and Community Detection in Directed Networks: A Survey.Dealing with Missing Modalities in Multimodal Recommendation: a Feature Propagation-based Approach., , , , and . CoRR, (2024)