Causality and Independence Enhancement for Biased Node Classification

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Causality and Independence Enhancement for Biased Node Classification

14 October 2023

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Papers citing "Causality and Independence Enhancement for Biased Node Classification"

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Title
Memory-enhanced Invariant Prompt Learning for Urban Flow Prediction under Distribution Shifts Haiyang Jiang Tong Chen Wentao Zhang Nguyen Quoc Viet Hung Yuan Yuan Yong Li Lizhen Cui OOD AI4TS 454 1 0 07 Dec 2024
CEGRL-TKGR: A Causal Enhanced Graph Representation Learning Framework for Temporal Knowledge Graph Reasoning Jinze Sun Yongpan Sheng Lirong He Yongbin Qin Ming Liu Tao Jia CML 89 0 0 15 Aug 2024
IENE: Identifying and Extrapolating the Node Environment for Out-of-Distribution Generalization on Graphs Haoran Yang Xiaobing Pei Kai Yuan 113 0 0 02 Jun 2024
Negative as Positive: Enhancing Out-of-distribution Generalization for Graph Contrastive Learning Zixu Wang Bingbing Xu Yige Yuan Huawei Shen Xueqi Cheng OODD 103 2 0 25 May 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies and An Outlook Wenzhao Jiang Hao Liu Hui Xiong CML AI4CE 158 3 0 19 Dec 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance? Yongqiang Chen Yatao Bian Kaiwen Zhou Binghui Xie Bo Han James Cheng OOD 101 41 0 29 Oct 2023
MPrompt: Exploring Multi-level Prompt Tuning for Machine Reading Comprehension Guoxin Chen Yiming Qian Bowen Wang Liangzhi Li 53 7 0 27 Oct 2023