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Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change, , and . arXiv:1605.09096 cs, (October 2018)arXiv: 1605.09096.Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization., , , , , , and . CoRR, (2019)Harnessing Simulation for Molecular Embeddings., , , , and . CoRR, (2023)Graph-based clinical recommender: Predicting specialists procedure orders using graph representation learning., , , , , , , , , and . J. Biomed. Informatics, (2023)Unifying Graph Convolutional Neural Networks and Label Propagation., and . CoRR, (2020)Predicting dominance in multi-person videos., , , , , , and . IJCAI, page 4643-4650. ijcai.org, (2019)Welcome on Behalf of the Wiki Workshop Chairs & Organization., , , and . WWW (Companion Volume), page 1777-1778. ACM, (2018)Modeling Social Networks with Node Attributes using the Multiplicative Attribute Graph Model., and . UAI, page 400-409. AUAI Press, (2011)Analytical Models for Motifs in Temporal Networks., , and . WWW (Companion Volume), page 903-909. ACM, (2022)Community Structure in Large Networks: Natural Cluster Sizes and the Absence of Large Well-Defined Clusters, , , and . (2008)cite arxiv:0810.1355Comment: 66 pages, a much expanded version of our WWW 2008 paper.