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Discovering Maximal Motif Cliques in Large Heterogeneous Information Networks., , , , , and . ICDE, page 746-757. IEEE, (2019)An Adversarial Approach to Improve Long-Tail Performance in Neural Collaborative Filtering., , , and . CIKM, page 1491-1494. ACM, (2018)Unsupervised Concept Categorization and Extraction from Scientific Document Titles., , , and . CIKM, page 1339-1348. ACM, (2017)Graph Neural Networks for Friend Ranking in Large-scale Social Platforms., , , and . WWW, page 2535-2546. ACM / IW3C2, (2021)Predicting novel metabolic pathways through subgraph mining, , and . Bioinformatics, 33 (24): 3955--3963 (Dec 15, 2017)Audience-Centric Natural Language Generation via Style Infusion., , , , and . CoRR, (2023)DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks., , , , and . WSDM, page 519-527. ACM, (2020)Inf-VAE: A Variational Autoencoder Framework to Integrate Homophily and Influence in Diffusion Prediction., , , and . WSDM, page 510-518. ACM, (2020)Audience-Centric Natural Language Generation via Style Infusion., , , , and . EMNLP (Findings), page 1919-1932. Association for Computational Linguistics, (2022)GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation., , , , , and . SIGIR, page 1279-1288. ACM, (2020)