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Graph classification using structural attention

, , and . Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 1666--1674. ACM, (2018)

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Learning Role-based Graph Embeddings, , , , , , and . (2018)cite arxiv:1802.02896Comment: StarAI workshop @ IJCAI 2018.Graph classification using structural attention, , and . Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, page 1666--1674. ACM, (2018)Heterogeneous Graphlets., , , , , , and . ACM Trans. Knowl. Discov. Data, 15 (1): 9:1-9:43 (2021)Attention Models in Graphs: A Survey., , , , and . ACM Trans. Knowl. Discov. Data, 13 (6): 62:1-62:25 (2019)Graph Deep Factors for Probabilistic Time-series Forecasting., , , , and . ACM Trans. Knowl. Discov. Data, 17 (2): 26:1-26:30 (February 2023)On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications., , , , , and . ACM Trans. Knowl. Discov. Data, 14 (5): 63:1-63:37 (2020)Neural caption generation over figures., , , , , , and . UbiComp/ISWC Adjunct, page 482-485. ACM, (2019)Higher-order Spectral Clustering for Heterogeneous Graphs., , , and . CoRR, (2018)Approximate Maximum Matching in Random Streams., , , , and . CoRR, (2019)Parallel collective factorization for modeling large heterogeneous networks., and . Soc. Netw. Anal. Min., 6 (1): 67:1-67:30 (2016)