Web Reference: Data4TGC is a set of datasets for deep temporal graph clustering, includes DBLP, Brain, Patent, School, arXivAI, arXivCS, arXivMath, arXivPhy and arXivLarge. This is an early version of our dataset, and we will be updating it with more information as we go along. His research interests include graph neural network, multi-modal, and clustering. He has published more than 30 papers including TPAMI, AdvSci, TKDE, and NeurIPS, ICML, CVPR, with 1 ESI Hot Paper, 3 ESI Highly Cited Papers, and 1600 citations. MGitHubL / Awesome-Temporal-Graph-Learning Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
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Github Mgithubl Data4tgc Net Worth 2026: Salary, Income & Wealth Net Worth & Biography

Estimated Worth: $9M - $52M
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Last Updated: March 29, 2026
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