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Generating Counterfactual Hard Negative Samples for Graph Contrastive
  Learning

Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning

1 July 2022
Haoran Yang
Hongxu Chen
Sixiao Zhang
Xiangguo Sun
Qian Li
Xiangyu Zhao
Guandong Xu
    SSL
ArXivPDFHTML

Papers citing "Generating Counterfactual Hard Negative Samples for Graph Contrastive Learning"

12 / 12 papers shown
Title
Robust image representations with counterfactual contrastive learning
Robust image representations with counterfactual contrastive learning
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OOD
MedIm
43
2
0
16 Sep 2024
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for
  Text-Attributed Graph Contrastive Learning
LATEX-GCL: Large Language Models (LLMs)-Based Data Augmentation for Text-Attributed Graph Contrastive Learning
Haoran Yang
Xiangyu Zhao
Sirui Huang
Qing Li
Guandong Xu
39
4
0
02 Sep 2024
Motif-Consistent Counterfactuals with Adversarial Refinement for
  Graph-Level Anomaly Detection
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection
Chunjing Xiao
Shikang Pang
Wenxin Tai
Yanlong Huang
Goce Trajcevski
Fan Zhou
36
2
0
18 Jul 2024
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation
  and Feature Learning
Imbalanced Graph-Level Anomaly Detection via Counterfactual Augmentation and Feature Learning
Zitong Wang
Xuexiong Luo
Enfeng Song
Qiuqing Bai
Fu Lin
31
0
0
13 Jul 2024
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented
  Negative Sample Selection in Graph Contrastive Learning
From Overfitting to Robustness: Quantity, Quality, and Variety Oriented Negative Sample Selection in Graph Contrastive Learning
Adnan Ali
Jinlong Li
Huanhuan Chen
Ali Kashif Bashir
34
1
0
21 Jun 2024
Counterfactual contrastive learning: robust representations via causal
  image synthesis
Counterfactual contrastive learning: robust representations via causal image synthesis
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OOD
42
3
0
14 Mar 2024
All in One: Multi-Task Prompting for Graph Neural Networks (Extended
  Abstract)
All in One: Multi-Task Prompting for Graph Neural Networks (Extended Abstract)
Xiangguo Sun
Hong Cheng
Jia Li
Bo Liu
Jihong Guan
LLMAG
27
2
0
11 Mar 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
30
2
0
19 Dec 2023
Graph Self-Contrast Representation Learning
Graph Self-Contrast Representation Learning
Minjie Chen
Yao Cheng
Ye Wang
Xiangci Li
Ming Gao
SSL
17
1
0
05 Sep 2023
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings
  through Graph Contrastive Learning
Mitigating the Performance Sacrifice in DP-Satisfied Federated Settings through Graph Contrastive Learning
Haoran Yang
Xiangyu Zhao
Muyang Li
Hongxu Chen
Guandong Xu
FedML
18
2
0
24 Jul 2022
Graph Trend Filtering Networks for Recommendations
Graph Trend Filtering Networks for Recommendations
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Jiliang Tang
Qing Li
66
101
0
12 Aug 2021
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomáš Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
228
31,244
0
16 Jan 2013
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