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3 de jul. de 1999 · Detailed stats of Jiaqi Han . This page contains information about a player's detailed stats. In the info box, you can filter by period, club, type of league and competition. The "Detailed stats" tab shows a player's total appearances, goals, cards and ...
1 de dic. de 2022 · 1. Introduction. Drought, a common natural disaster caused by regional abnormalities in the global water cycle, has always been a highly concerned topic for the scientific community (AghaKouchak et al., 2015, Lewis et al., 2011, Livneh and Badger, 2020, Xu et al., 2019).It poses a significant threat to the available water resources and food security (Frappart et al., 2012, Castle et al., 2014).
In this paper, we propose Equivariant Hierarchy-based Graph Networks (EGHNs) which consist of the three key components: generalized Equivariant Matrix Message Passing (EMMP) , E-Pool and E-UnPool. In particular, EMMP is able to improve the expressivity of conventional equivariant message passing, E-Pool assigns the quantities of the low-level ...
Zhihan Li, Youjian Zhao, Jiaqi Han, Ya Su, Rui Jiao, Xidao Wen, and Dan Pei. 2021. Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21), August 14–18, 2021, Virtual Event, Singapore.
Graph Neural Networks (GNNs) have become a prevailing tool for learning physical dynamics. However, they still encounter several challenges: 1) Physical laws abide by symmetry, which is a vital inductive bias accounting for model generalization and should be incorporated into the model design. Existing simulators either consider insufficient ...
Equivariant Graph Hierarchy-Based Neural Networks Jiaqi Han 1, Yu Rong 2, Tingyang Xu , Fuchun Sun , Wenbing Huang 3 1 Beijing National Research Center for Information Science and Technology (BNRist), Department of Computer Science and Technology, Tsinghua University 2 Tencent AI Lab, Tencent 3 Institute for AI Industry Research (AIR), Tsinghua University ...
Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding. Zhihan Li. Tsinghua University, Beijing, China
