Should Graph Convolution Trust Neighbors? A Simple Causal Inference
Method

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method

22 October 2020

Papers citing "Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method"

18 / 18 papers shown

Title
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 30 0 0 13 May 2025
CASPER: Causality-Aware Spatiotemporal Graph Neural Networks for Spatiotemporal Time Series Imputation Baoyu Jing Dawei Zhou Kan Ren Carl Yang CML AI4TS 32 6 0 18 Mar 2024
Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling Dingyuan Zhu Daixin Wang Zhiqiang Zhang Kun Kuang Yan Zhang Yulin Kang Jun Zhou 37 3 0 11 Mar 2024
CaT-GNN: Enhancing Credit Card Fraud Detection via Causal Temporal Graph Neural Networks Yifan Duan Guibin Zhang Shilong Wang Xiaojiang Peng Ziqi Wang Junyuan Mao Hao Wu Xinke Jiang Kun Wang 41 6 0 22 Feb 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
Causal-Based Supervision of Attention in Graph Neural Network: A Better and Simpler Choice towards Powerful Attention Hongjun Wang Jiyuan Chen Lun Du Qiang Fu Shi Han Xuan Song CML GNN 27 4 0 22 May 2023
Decision Support System for Chronic Diseases Based on Drug-Drug Interactions Tian Bian Yuli Jiang Jia Li Tingyang Xu Yu Rong Yi Su Timothy S. H. Kwok H. Meng Hongtao Cheng 19 3 0 04 Mar 2023
Unbiased Knowledge Distillation for Recommendation Gang Chen Jiawei Chen Fuli Feng Sheng Zhou Xiangnan He 19 27 0 27 Nov 2022
Causal Attention for Interpretable and Generalizable Graph Classification Yongduo Sui Xiang Wang Jiancan Wu Min-Bin Lin Xiangnan He Tat-Seng Chua CML OOD 17 152 0 30 Dec 2021
Learning Robust Recommender from Noisy Implicit Feedback Wenjie Wang Fuli Feng Xiangnan He Liqiang Nie Tat-Seng Chua NoLa 25 3 0 02 Dec 2021
Empowering Language Understanding with Counterfactual Reasoning Fuli Feng Jizhi Zhang Xiangnan He Hanwang Zhang Tat-Seng Chua LRM 21 33 0 06 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng-Long Jiang CML OOD 25 93 0 03 Jun 2021
Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network Zihan Wang Hongye Song Z. Ren Pengjie Ren Zhumin Chen Xiaozhong Liu Hongsong Li Maarten de Rijke AILaw 28 12 0 13 May 2021
Distilling Causal Effect of Data in Class-Incremental Learning Xinting Hu Kaihua Tang C. Miao Xiansheng Hua Hanwang Zhang CML 174 175 0 02 Mar 2021
Counterfactual Zero-Shot and Open-Set Visual Recognition Zhongqi Yue Tan Wang Hanwang Zhang Qianru Sun Xiansheng Hua BDL 158 192 0 01 Mar 2021
Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach Kelong Mao Xi Xiao Jieming Zhu Biao Lu Ruiming Tang Xiuqiang He 34 22 0 26 Aug 2020
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 267 1,944 0 09 Jun 2018
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,136 0 06 Jun 2015