Graph Out-of-Distribution Generalization via Causal Intervention

Graph Out-of-Distribution Generalization via Causal Intervention

18 February 2024

Papers citing "Graph Out-of-Distribution Generalization via Causal Intervention"

14 / 14 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 140 1 0 29 Mar 2025
Multi-Scale Heterogeneous Text-Attributed Graph Datasets From Diverse Domains Yunhui Liu Qizhuo Xie Jinwei Shi Jiaxu Shen Tieke He 72 0 0 12 Dec 2024
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts Haiyang Jiang Tong Chen W. Zhang Nguyen Quoc Viet Hung Yuan Yuan Yong Li Lizhen Cui OOD AI4TS 161 1 0 07 Dec 2024
Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts Jinluan Yang Zhengyu Chen Teng Xiao Wenqiao Zhang Yong Lin Kun Kuang 51 1 0 18 Aug 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
Improving Graph Out-of-distribution Generalization on Real-world Data Can Xu Yao Cheng Jianxiang Yu Haosen Wang Jingsong Lv Xiang Li OOD 34 0 0 14 Jul 2024
Teleporter Theory: A General and Simple Approach for Modeling Cross-World Counterfactual Causality Jiangmeng Li Bin Qin Qirui Ji Yi Li Wenwen Qiang Jianwen Cao Fanjiang Xu 44 0 0 17 Jun 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 27 0 0 02 Jun 2024
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs Pengfei Ding Yan Wang Guanfeng Liu Nan Wang Xiaofang Zhou OODD OOD 28 2 0 07 Jan 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 44 2 0 19 Dec 2023
Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings Benedek Rozemberczki Rik Sarkar 121 68 0 08 Jan 2021
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 167 123 0 17 Oct 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 215 901 0 02 Mar 2020
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 177 9,327 0 28 May 2015