Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

8 March 2024

Papers citing "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"

17 / 17 papers shown

Title
Federated Causal Inference in Healthcare: Methods, Challenges, and Applications Haoyang Li Jie Xu Kyra Gan Fei Wang Chengxi Zang FedML CML 33 0 0 04 May 2025
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts Jongha Lee Taehyung Kwon Heechan Moon Kijung Shin AI4TS 41 0 0 01 Apr 2025
Causal-aware Graph Neural Architecture Search under Distribution Shifts Peiwen Li Xin Wang Zeyang Zhang Yi Qin Ziwei Zhang Jialong Wang Yang Li Wenwu Zhu CML OOD 55 4 0 31 Dec 2024
Graph Representation Learning via Causal Diffusion for Out-of-Distribution Recommendation Chu Zhao Enneng Yang Yuliang Liang Pengxiang Lan Yuting Liu Jianzhe Zhao Guibing Guo Xingwei Wang OOD DiffM CML 51 5 0 01 Aug 2024
A Comprehensive Survey of Dynamic Graph Neural Networks: Models, Frameworks, Benchmarks, Experiments and Challenges ZhengZhao Feng Rui Wang TianXing Wang Mingli Song Sai Wu Shuibing He AI4CE 17 10 0 01 May 2024
RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model Peiwen Li Xin Wang Zeyang Zhang Yuan Meng Fang-lin Shen Yue Li Jialong Wang Yang Li Wenweu Zhu 46 3 0 23 Apr 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 40 12 0 08 Mar 2024
Out-of-Distribution Generalized Dynamic Graph Neural Network for Human Albumin Prediction Zeyang Zhang Xingwang Li Fei Teng Ning Lin Xueling Zhu Xin Eric Wang Wenwu Zhu OOD 24 11 0 27 Nov 2023
LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs? Zeyang Zhang Xin Eric Wang Ziwei Zhang Haoyang Li Yi Qin Wenwu Zhu 24 24 0 26 Oct 2023
DisenBooth: Identity-Preserving Disentangled Tuning for Subject-Driven Text-to-Image Generation Hong Chen Yipeng Zhang Simin Wu Xin Eric Wang Xuguang Duan Yuwei Zhou Wenwu Zhu DiffM 16 47 0 05 May 2023
Specformer: Spectral Graph Neural Networks Meet Transformers Deyu Bo Chuan Shi Lele Wang Renjie Liao 69 78 0 02 Mar 2023
How Powerful are Spectral Graph Neural Networks Xiyuan Wang Muhan Zhang 70 178 0 23 May 2022
Discovering Invariant Rationales for Graph Neural Networks Yingmin Wu Xiang Wang An Zhang Xiangnan He Tat-Seng Chua OOD AI4CE 89 222 0 30 Jan 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 124 200 0 28 Sep 2021
Invariant Rationalization Shiyu Chang Yang Zhang Mo Yu Tommi Jaakkola 179 201 0 22 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 898 0 02 Mar 2020
Efficient Estimation of Word Representations in Vector Space Tomáš Mikolov Kai Chen G. Corrado J. Dean 3DV 228 31,150 0 16 Jan 2013