Graph Contrastive Learning with Adaptive Augmentation

27 October 2020

Qiang Liu

Liang Wang

Papers citing "Graph Contrastive Learning with Adaptive Augmentation"

50 / 426 papers shown

Title
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 36 19 0 30 Mar 2024
Beyond the Known: Novel Class Discovery for Open-world Graph Learning Yucheng Jin Yun Xiong Juncheng Fang Xixi Wu Dongxiao He Xing Jia Bingchen Zhao Philip Yu OffRL 34 0 0 29 Mar 2024
Graph Augmentation for Recommendation Qianru Zhang Lianghao Xia Xuheng Cai Siu-keung Yiu Chao Huang Christian S. Jensen 31 5 0 25 Mar 2024
GTC: GNN-Transformer Co-contrastive Learning for Self-supervised Heterogeneous Graph Representation Yundong Sun Dongjie Zhu Yansong Wang Zhaoshuo Tian ViT SSL 38 13 0 22 Mar 2024
ADEdgeDrop: Adversarial Edge Dropping for Robust Graph Neural Networks Zhaoliang Chen Zhihao Wu Ylli Sadikaj Claudia Plant Hong-Ning Dai Shiping Wang Wenzhong Guo AAML 40 0 0 14 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 39 7 0 12 Mar 2024
Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision Zeyang Zhang Xin Eric Wang Ziwei Zhang Guangyao Shen Shiqi Shen Wenwu Zhu 42 12 0 08 Mar 2024
Robust Graph Structure Learning under Heterophily Xuanting Xie Zhao Kang Wenyu Chen 41 3 0 06 Mar 2024
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation Lirong Wu Haitao Lin Zhangyang Gao Guojiang Zhao Stan Z. Li 40 8 0 06 Mar 2024
RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space Li Sun Mengjie Li Yong Yang Xiao Li Lin Liu Pengfei Zhang Haohua Du 26 1 0 04 Mar 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks Tianyu Fan Lirong Wu Yufei Huang Haitao Lin Cheng Tan Zhangyang Gao Stan Z. Li 34 3 0 03 Mar 2024
MuseGraph: Graph-oriented Instruction Tuning of Large Language Models for Generic Graph Mining Yanchao Tan Hang Lv Xin Huang Jiawei Zhang Shiping Wang Carl Yang 39 10 0 02 Mar 2024
OpenGraph: Towards Open Graph Foundation Models Lianghao Xia Ben Kao Chao Huang AI4CE 35 36 0 02 Mar 2024
LocalGCL: Local-aware Contrastive Learning for Graphs Haojun Jiang Jiawei Sun Jie Li Chentao Wu SSL 25 0 0 27 Feb 2024
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications Zhen Yang Ming Ding Tinglin Huang Yukuo Cen Junshuai Song Bin Xu Yuxiao Dong Jie Tang 33 9 0 27 Feb 2024
Deep Contrastive Graph Learning with Clustering-Oriented Guidance Mulin. Chen Bocheng Wang Xuelong Li 25 6 0 25 Feb 2024
Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks Qian Ma Hongliang Chi Hengrui Zhang Kay Liu Zhiwei Zhang Lu Cheng Suhang Wang Philip S. Yu Yao Ma 41 3 0 24 Feb 2024
Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective Yuchen Yan Peiyan Zhang Zheng Fang Qingqing Long AI4CE 28 13 0 21 Feb 2024
Endowing Pre-trained Graph Models with Provable Fairness Zhongjian Zhang Mengmei Zhang Yue Yu Cheng Yang Jiawei Liu Chuan Shi 39 8 0 19 Feb 2024
PASCL: Supervised Contrastive Learning with Perturbative Augmentation for Particle Decay Reconstruction Junjian Lu Siwei Liu Dmitrii Kobylianski Etienne Dreyer Eilam Gross Shangsong Liang 32 3 0 18 Feb 2024
ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs Yuhan Li Peisong Wang Zhixun Li Jeffrey Xu Yu Jia Li 27 39 0 17 Feb 2024
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation Xinjian Zhao Liang Zhang Yang Liu Ruocheng Guo Xiangyu Zhao 19 0 0 16 Feb 2024
Graph Inference Acceleration by Learning MLPs on Graphs without Supervision Zehong Wang Zheyuan Zhang Chuxu Zhang Yanfang Ye 29 5 0 14 Feb 2024
UGMAE: A Unified Framework for Graph Masked Autoencoders Yijun Tian Chuxu Zhang Ziyi Kou Zheyuan Liu Xiangliang Zhang Nitesh V. Chawla 24 1 0 12 Feb 2024
Rethinking Graph Masked Autoencoders through Alignment and Uniformity Liang Wang Xiang Tao Qiang Liu Shu Wu Liang Wang 39 14 0 11 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 29 0 0 09 Feb 2024
Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning Jiawei Jiang Yifan Yang Jingyuan Wang Junjie Wu AI4TS 25 2 0 09 Feb 2024
Masked Graph Autoencoder with Non-discrete Bandwidths Zi-qiang Zhao Yuhua Li Yixiong Zou Jiliang Tang Ruixuan Li 27 10 0 06 Feb 2024
A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer Zhangyang Gao Daize Dong Cheng Tan Jun-Xiong Xia Bozhen Hu Stan Z. Li 46 6 0 04 Feb 2024
Distillation Enhanced Time Series Forecasting Network with Momentum Contrastive Learning Haozhi Gao Qianqian Ren Jinbao Li AI4TS 29 2 0 31 Jan 2024
Graph Contrastive Learning with Cohesive Subgraph Awareness Yucheng Wu Leye Wang Xiao Han Han-Jia Ye 19 3 0 31 Jan 2024
GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling Wei Ju Yiyang Gu Zhengyan Mao Ziyue Qiao Yifang Qin Xiao Luo Hui Xiong Ming Zhang SSL 27 8 0 29 Jan 2024
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently Zicun Cong Baoxu Shi Shan Li Jaewon Yang Qi He Jian Pei 52 4 0 26 Jan 2024
Non-Neighbors Also Matter to Kriging: A New Contrastive-Prototypical Learning Zhishuai Li Yunhao Nie Ziyue Li Lei Bai Yisheng Lv Rui Zhao 13 5 0 23 Jan 2024
Graph Contrastive Invariant Learning from the Causal Perspective Yanhu Mo Xiao Wang Shaohua Fan Chuan Shi 32 14 0 23 Jan 2024
Spatial-temporal Forecasting for Regions without Observations Xinyu Su Jianzhong Qi E. Tanin Yanchuan Chang Majid Sarvi AI4TS 38 2 0 19 Jan 2024
Every Node is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering Pengfei Zhu Qian Wang Yu Wang Jialu Li Qinghua Hu 18 3 0 12 Jan 2024
Unifying Graph Contrastive Learning via Graph Message Augmentation Ziyan Zhang Bo Jiang Jin Tang Bin Luo 17 1 0 08 Jan 2024
Multi-Stage Contrastive Regression for Action Quality Assessment Qi An Mengshi Qi Huadong Ma 26 3 0 05 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 27 7 0 28 Dec 2023
Mitigating Degree Biases in Message Passing Mechanism by Utilizing Community Structures Van Thuy Hoang O-Joun Lee 17 6 0 28 Dec 2023
RDGCL: Reaction-Diffusion Graph Contrastive Learning for Recommendation Jeongwhan Choi Hyowon Wi C. Lee Sung-Bae Cho Dongha Lee Noseong Park DiffM 41 2 0 27 Dec 2023
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection Junwei He Qianqian Xu Yangbangyan Jiang Zitai Wang Qingming Huang 18 21 0 22 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 36 4 0 19 Dec 2023
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery Pengwei Yan Kaisong Song Zhuoren Jiang Yangyang Kang Tianqianjin Lin Changlong Sun Xiaozhong Liu AI4CE 28 2 0 19 Dec 2023
EdgePruner: Poisoned Edge Pruning in Graph Contrastive Learning Hiroya Kato Kento Hasegawa Seira Hidano Kazuhide Fukushima AAML 32 0 0 12 Dec 2023
Contrastive Multi-view Subspace Clustering of Hyperspectral Images based on Graph Convolutional Networks Renxiang Guan Zihao Li Xianju Li Chang-Fu Tang Ruyi Feng 20 26 0 11 Dec 2023
ASWT-SGNN: Adaptive Spectral Wavelet Transform-based Self-Supervised Graph Neural Network Ruyue Liu Rong Yin Yong Liu Weiping Wang SSL 21 3 0 10 Dec 2023
Unsupervised Social Event Detection via Hybrid Graph Contrastive Learning and Reinforced Incremental Clustering Yuanyuan Guo Zehua Zang Hang Gao Xiao Xu Rui Wang Lixiang Liu Jiangmeng Li 26 5 0 08 Dec 2023
Understanding Community Bias Amplification in Graph Representation Learning Shengzhong Zhang Wenjie Yang Yimin Zhang Hongwei Zhang Divin Yan Zengfeng Huang FaML 21 0 0 08 Dec 2023