SEGNO: Generalizing Equivariant Graph Neural Networks with Physical
Inductive Biases

SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases

25 August 2023

Yang Liu

Papers citing "SEGNO: Generalizing Equivariant Graph Neural Networks with Physical Inductive Biases"

16 / 16 papers shown

Title
Graph ODEs and Beyond: A Comprehensive Survey on Integrating Differential Equations with Graph Neural Networks Z. Liu Xiaoda Wang Bohan Wang Zijie Huang Carl Yang Wei-dong Jin AI4TS AI4CE 137 1 0 29 Mar 2025
A Survey of Cross-domain Graph Learning: Progress and Future Directions Haihong Zhao Chenyi Zi Aochuan Chen Jia Li 67 0 0 14 Mar 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization Yifan Niu Ziqi Gao Tingyang Xu Yang Liu Yatao Bian Yu Rong Junzhou Huang Jia Li 68 0 0 03 Mar 2025
CirT: Global Subseasonal-to-Seasonal Forecasting with Geometry-inspired Transformer Yang Liu Zinan Zheng Jiashun Cheng Fugee Tsung Deli Zhao Yu Rong J. Li 81 1 0 27 Feb 2025
A Survey of Graph Transformers: Architectures, Theories and Applications Chaohao Yuan Kangfei Zhao Ercan Engin Kuruoglu Liang Wang Tingyang Xu Wenbing Huang Deli Zhao Hong Cheng Yu Rong 55 4 0 23 Feb 2025
Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures Ce Liu Jun Wang Zhiqiang Cai Yingxu Wang Huizhen Kuang ... Yining Tang Fenglei Cao Limei Han Siyu Zhu Yuan Qi 3DV 13 0 0 22 Aug 2024
GLBench: A Comprehensive Benchmark for Graph with Large Language Models Yuhan Li Peisong Wang Xiao Zhu Aochuan Chen Haiyun Jiang Deng Cai Victor Wai Kin Chan Jia Li 46 12 0 10 Jul 2024
Learning System Dynamics without Forgetting Xikun Zhang Dongjin Song Yushan Jiang Yixin Chen Dacheng Tao AI4CE 37 2 0 30 Jun 2024
GeoMFormer: A General Architecture for Geometric Molecular Representation Learning Tianlang Chen Shengjie Luo Di He Shuxin Zheng Tie-Yan Liu Liwei Wang AI4CE 38 5 0 24 Jun 2024
Relaxing Continuous Constraints of Equivariant Graph Neural Networks for Physical Dynamics Learning Zinan Zheng Yang Liu Jia Li Jianhua Yao Yu Rong AI4CE 51 1 0 24 Jun 2024
ProG: A Graph Prompt Learning Benchmark Chenyi Zi Haihong Zhao Xiangguo Sun Yiqing Lin Hong Cheng Jia Li 56 10 0 08 Jun 2024
All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining Haihong Zhao Aochuan Chen Xiangguo Sun Hong Cheng Jia Li 38 33 0 15 Feb 2024
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction Horizons Jiawen Zhang Xumeng Wen Zhenwei Zhang Shun Zheng Jia Li Jiang Bian AI4TS 35 0 0 11 Oct 2023
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection Ming Jin Huan Yee Koh Qingsong Wen Daniele Zambon C. Alippi G. I. Webb Irwin King Shirui Pan AI4TS AI4CE 41 143 0 07 Jul 2023
Rethinking Graph Neural Networks for Anomaly Detection Jianheng Tang Jiajin Li Zi-Chao Gao Jia Li 69 205 0 31 May 2022
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016