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Collaborative topic regression for predicting topic-based social influence.

, , , and . Mach. Learn., 108 (10): 1831-1850 (2019)

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A Provable Framework of Learning Graph Embeddings via Summarization., , , , and . AAAI, page 4946-4953. AAAI Press, (2023)NetSimile: A Scalable Approach to Size-Independent Network Similarity, , , and . CoRR, (2012)Driving with Data: Modeling and Forecasting Vehicle Fleet Maintenance in Detroit., , , , , , and . CoRR, (2017)Driving with Data in the Motor City: Mining and Modeling Vehicle Fleet Maintenance Data., , , , , , and . CoRR, (2020)Scalable Graph Mining and Learning (Dagstuhl Seminar 23491)., , , and . Dagstuhl Reports, 13 (12): 1-23 (December 2023)Neural Execution Engines: Learning to Execute Subroutines., , , , and . NeurIPS, (2020)Anomaly detection in dynamic networks: a survey, , , , , and . Wiley Interdisciplinary Reviews: Computational Statistics, 7 (3): 223--247 (2015)On Estimating Link Prediction Uncertainty Using Stochastic Centering., , and . ICASSP, page 6810-6814. IEEE, (2024)The Power of Summarization in Graph Mining and Learning: Smaller Data, Faster Methods, More Interpretability.. Proc. VLDB Endow., 14 (13): 3416 (2021)Analyzing Data-Centric Properties for Contrastive Learning on Graphs., , , , and . CoRR, (2022)