Jiaqi Han

发表

Learning Physical Dynamics with Subequivariant Graph Neural Networks

J. Tenenbaum, Jiachen Li, Hengbo Ma, 2022, NeurIPS.

Energy-Motivated Equivariant Pretraining for 3D Molecular Graphs

Yu Rong, Wenbing Huang, Yang Liu, 2022, AAAI.

Geometrically Equivariant Graph Neural Networks: A Survey

Yu Rong, Tingyang Xu, Wenbing Huang, 2022, ArXiv.

3D Equivariant Molecular Graph Pretraining

Yu Rong, Yang Liu, Yang Liu, 2022, ArXiv.

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding

Dan Pei, Zhihan Li, Youjian Zhao, 2021, KDD.

Structure-Aware DropEdge Towards Deep Graph Convolutional Networks

Junzhou Huang, Wen-bing Huang, Yu Rong, 2023, ArXiv.

High frequency patterns play a key role in the generation of adversarial examples

Shukai Duan, Lidan Wang, Xiaofang Hu, 2021, Neurocomputing.

Smoothing Matters: Momentum Transformer for Domain Adaptive Semantic Segmentation

Yu Rong, Tingyang Xu, Wenbing Huang, 2022, ArXiv.

Crystal Structure Prediction by Joint Equivariant Diffusion

Wen-bing Huang, Yang Liu, Rui Jiao, 2023, NeurIPS.

Subequivariant Graph Reinforcement Learning in 3D Environments

Wen-bing Huang, Fuchun Sun, Runfa Chen, 2023, ICML.

A Survey of Geometric Graph Neural Networks: Data Structures, Models and Applications

Tingyang Xu, Hongteng Xu, Rui Jiao, 2024, ArXiv.