Riemannian Geometry Speaks Louder Than Words: From Graph Foundation Model to Next-Generation Graph Intelligence
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Philip S. Yu
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Domaines associés
Advanced Graph Neural NetworksComplex Network Analysis TechniquesTopic ModelingData Management and AlgorithmsData Mining Algorithms and Applications
Publications récentes
The 15th International Workshop on Urban Computing
Sijie Ruan, Yu Zheng, Yuxuan Liang, Chuishi Meng et autres
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2nd Workshop on Frontiers in Graph Machine Learning for the Large Model Era
Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Lingjuan Lyu et autres
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Incorporating 3D Structural Information for Activity Cliff Analysis
Zijing Liu, Xinni Zhang, Yankai Chen, Bin Feng et autres
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Geometry-aware Test-Time Adaptation on Graphs
Lingwei Wei, Dou Hu, Li Sun, Chengze Li et autres
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AMOS: Active Mining with Observable Steps for Agenda-Driven Review Knowledge Discovery
Chin-Yuan Yeh, Wei Huang, Hsi-Wen Chen, Chen Wang et autres
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From Generic Intelligence to Personalized AI: A Tutorial on Foundations of LLM Personalization
Ruijie Wang, Qingkai Zeng, Xuefei Wang, Yutong Ye et autres
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Graph-based fraud detection with dual-path graph filtering
Wei He, Wensheng Gan, Philip S. Yu
0 citationsNeural Networks
Multi-view graph learning in brain network analysis: A survey
Jiaxing Xu, Tiancheng Huang, Wei Zhang, Yiping Ke et autres
0 citationsInformation Fusion
Utility-driven mining of contiguous sequences
Chunkai Zhang, Wensheng Gan, Philip S. Yu
4 citationsInternational Journal of Machine Learning and Cybernetics
Beyond Tokens: A Survey on Decoding Methods for Large Language and Vision-Language Models
H Wang, Xiongxiao Xu, Philip S. Yu, Kai Shu
1 citationACM SIGKDD Explorations Newsletter
Towards context-aware graph representation learning: Adaptive node aggregation with LLMs
Songwei Zhao, Yuan Jiang, Sinuo Zhang, Jifeng Hu et autres
0 citationsArtificial Intelligence
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