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Learning from Counterfactual Links for Link Prediction

Learning from Counterfactual Links for Link Prediction

3 June 2021
Tong Zhao
Gang Liu
Daheng Wang
Wenhao Yu
Meng-Long Jiang
    CML
    OOD
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Papers citing "Learning from Counterfactual Links for Link Prediction"

17 / 17 papers shown
Title
Soft causal learning for generalized molecule property prediction: An environment perspective
Soft causal learning for generalized molecule property prediction: An environment perspective
Limin Li
Kuo Yang
Wenjie Du
Pengkun Wang
Zhengyang Zhou
Yang Wang
OOD
AI4CE
56
0
0
07 May 2025
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
FairACE: Achieving Degree Fairness in Graph Neural Networks via Contrastive and Adversarial Group-Balanced Training
J. Liu
Xiaoqian Jiang
X. Li
Bohan Zhang
J. Zhang
32
0
0
12 Apr 2025
Causal invariant geographic network representations with feature and structural distribution shifts
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang
Silu He
Qinyao Luo
Hongyuan Yuan
Ling Zhao
Jiawei Zhu
Haifeng Li
OOD
64
0
0
25 Mar 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Efficient Link Prediction via GNN Layers Induced by Negative Sampling
Yuxin Wang
Xiannian Hu
Quan Gan
Xuanjing Huang
Xipeng Qiu
David Wipf
58
4
0
31 Dec 2024
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
SPARC: Spectral Architectures Tackling the Cold-Start Problem in Graph Learning
Yahel Jacobs
Reut Dayan
Uri Shaham
49
0
0
03 Nov 2024
When Graph Neural Network Meets Causality: Opportunities, Methodologies
  and An Outlook
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
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
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
Global Counterfactual Explainer for Graph Neural Networks
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan
Zexi Huang
Sourav Medya
Sayan Ranu
Ambuj K. Singh
26
47
0
21 Oct 2022
Linkless Link Prediction via Relational Distillation
Linkless Link Prediction via Relational Distillation
Zhichun Guo
William Shiao
Shichang Zhang
Yozen Liu
Nitesh V. Chawla
Neil Shah
Tong Zhao
21
41
0
11 Oct 2022
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Collaboration-Aware Graph Convolutional Network for Recommender Systems
Yu-Chiang Frank Wang
Yuying Zhao
Yi Zhang
Tyler Derr
GNN
32
61
0
03 Jul 2022
Graph Data Augmentation for Graph Machine Learning: A Survey
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao
Wei Jin
Yozen Liu
Yingheng Wang
Gang Liu
Stephan Günnemann
Neil Shah
Meng-Long Jiang
OOD
30
79
0
17 Feb 2022
Line Graph Neural Networks for Link Prediction
Line Graph Neural Networks for Link Prediction
Lei Cai
Jundong Li
Jie Wang
Shuiwang Ji
GNN
134
195
0
20 Oct 2020
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao
Bo Ni
Wenhao Yu
Zhichun Guo
Neil Shah
Meng-Long Jiang
39
19
0
20 Oct 2020
Representation Learning on Graphs with Jumping Knowledge Networks
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
Learning Representations for Counterfactual Inference
Learning Representations for Counterfactual Inference
Fredrik D. Johansson
Uri Shalit
David Sontag
CML
OOD
BDL
223
719
0
12 May 2016
Domain Adaptation: Learning Bounds and Algorithms
Domain Adaptation: Learning Bounds and Algorithms
Yishay Mansour
M. Mohri
Afshin Rostamizadeh
179
789
0
19 Feb 2009
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