Graph Representation Learning via Graphical Mutual Information Maximization

4 February 2020

Papers citing "Graph Representation Learning via Graphical Mutual Information Maximization"

50 / 208 papers shown

Title
Negative Metric Learning for Graphs Yiyang Zhao Chengpei Wu Lilin Zhang Ning Yang 14 0 0 15 May 2025
Rethinking Graph Contrastive Learning through Relative Similarity Preservation Zhiyuan Ning Pengfei Wang Ziyue Qiao Pengyang Wang Yuanchun Zhou 143 0 0 08 May 2025
Toward Data-centric Directed Graph Learning: An Entropy-driven Approach Xunkai Li Zhengyu Wu Kaichi Yu Hongchao Qin Guang Zeng Rong-Hua Li Guoren Wang 35 0 0 02 May 2025
H $^3$ GNNs: Harmonizing Heterophily and Homophily in GNNs via Joint Structural Node Encoding and Self-Supervised Learning Rui Xue Tianfu Wu AI4CE 40 0 0 16 Apr 2025
Subset-Contrastive Multi-Omics Network Embedding Pedro H. C. Avelar Min-Ying Wu S. Tsoka 21 0 0 15 Apr 2025
Incorporating Attributes and Multi-Scale Structures for Heterogeneous Graph Contrastive Learning Ruobing Jiang Yacong Li Haobing Liu Yanwei Yu 59 0 0 18 Mar 2025
Diffusion on Graph: Augmentation of Graph Structure for Node Classification Yancheng Wang Changyu Liu Yingzhen Yang DiffM GNN 94 0 0 16 Mar 2025
Dual Test-time Training for Out-of-distribution Recommender System Xihong Yang Yiqi Wang Jin Chen Wenqi Fan Xiangyu Zhao En Zhu Xinwang Liu Defu Lian TTA 110 5 0 13 Mar 2025
Decoupled Graph Energy-based Model for Node Out-of-Distribution Detection on Heterophilic Graphs Yuhan Chen Yihong Luo Yifan Song Pengwen Dai Jing Tang Xiaochun Cao OODD 46 1 0 25 Feb 2025
Unsupervised Entity Alignment Based on Personalized Discriminative Rooted Tree Yaming Yang Zhe Wang Ziyu Guan Wei Zhao Xinyan Huang Xiaofei He 59 0 0 14 Feb 2025
Closer through commonality: Enhancing hypergraph contrastive learning with shared groups Daeyoung Roh Donghee Han Daehee Kim Keejun Han Mun Yi 62 0 0 12 Feb 2025
Leveraging Joint Predictive Embedding and Bayesian Inference in Graph Self Supervised Learning Srinitish Srinivasan Omkumar CU SSL BDL 46 0 0 02 Feb 2025
Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck Xingcheng Fu Yisen Gao Beining Yang Yuxuan Wu Haodong Qian Qingyun Sun Xianxian Li DD 37 1 0 23 Dec 2024
GNN-Transformer Cooperative Architecture for Trustworthy Graph Contrastive Learning Jianqing Liang Xinkai Wei Min Chen Zhiqiang Wang Jiye Liang 73 0 0 18 Dec 2024
SE-GCL: An Event-Based Simple and Effective Graph Contrastive Learning for Text Representation Tao Meng Wei Ai Jianbin Li Ze Wang Yuntao Shou Keqin Li AI4TS 76 0 0 16 Dec 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo Zhihe Lu Runpeng Yu Xiaofeng Zhu Xinchao Wang 79 1 0 01 Dec 2024
Negative-Free Self-Supervised Gaussian Embedding of Graphs Yunhui Liu Tieke He Tao Zheng Jianhua Zhao SSL 38 1 0 02 Nov 2024
Eco-Aware Graph Neural Networks for Sustainable Recommendations Antonio Purificato Fabrizio Silvestri 26 3 0 12 Oct 2024
GRE^2-MDCL: Graph Representation Embedding Enhanced via Multidimensional Contrastive Learning Kaizhe Fan Quanjun Li 37 0 0 12 Sep 2024
Bootstrap Latents of Nodes and Neighbors for Graph Self-Supervised Learning Yunhui Liu Huaisong Zhang Tieke He Tao Zheng Jianhua Zhao SSL 32 5 0 09 Aug 2024
Invariant Graph Learning Meets Information Bottleneck for Out-of-Distribution Generalization Wenyu Mao Jiancan Wu Haoyang Liu Yongduo Sui Xiang Wang OOD 39 2 0 03 Aug 2024
Contrastive Graph Representation Learning with Adversarial Cross-view Reconstruction and Information Bottleneck Yuntao Shou Haozhi Lan Xiangyong Cao 38 11 0 01 Aug 2024
Heterogeneous Subgraph Network with Prompt Learning for Interpretable Depression Detection on Social Media Chen Chen Mingwei Li Fenghuan Li Haopeng Chen Yuankun Lin 28 0 0 12 Jul 2024
Explaining Graph Neural Networks for Node Similarity on Graphs Daniel Daza C. Chu T. Tran Daria Stepanova Michael Cochez Paul T. Groth 36 1 0 10 Jul 2024
Structure-Aware Consensus Network on Graphs with Few Labeled Nodes Shuaike Xu Xiaolin Zhang Peng Zhang Kun Zhan 38 1 0 02 Jul 2024
Contrastive General Graph Matching with Adaptive Augmentation Sampling Jianyuan Bo Yuan Fang 21 1 0 25 Jun 2024
POWN: Prototypical Open-World Node Classification Marcel Hoffmann Lukas Galke A. Scherp 24 0 0 14 Jun 2024
Generating Human Understandable Explanations for Node Embeddings Zohair Shafi Ayan Chatterjee Tina Eliassi-Rad 31 1 0 11 Jun 2024
SelfGNN: Self-Supervised Graph Neural Networks for Sequential Recommendation Yuxi Liu Lianghao Xia Chao Huang 36 14 0 31 May 2024
Mixed Supervised Graph Contrastive Learning for Recommendation Weizhi Zhang Liangwei Yang Zihe Song Henry Peng Zou Ke Xu Yuanjie Zhu Philip S. Yu 24 2 0 24 Apr 2024
Multi-View Subgraph Neural Networks: Self-Supervised Learning with Scarce Labeled Data Zhenzhong Wang Qingyuan Zeng Wanyu Lin Min Jiang Kay Chen Tan SSL 32 2 0 19 Apr 2024
Heterogeneous Contrastive Learning for Foundation Models and Beyond Lecheng Zheng Baoyu Jing Zihao Li Hanghang Tong Jingrui He VLM 30 19 0 30 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
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
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
Low-Rank Graph Contrastive Learning for Node Classification Yancheng Wang Yingzhen Yang 23 2 0 14 Feb 2024
Robust Training of Temporal GNNs using Nearest Neighbours based Hard Negatives Shubham Gupta Srikanta J. Bedathur OOD 26 1 0 14 Feb 2024
ExGRG: Explicitly-Generated Relation Graph for Self-Supervised Representation Learning Mahdi Naseri Mahdi Biparva SSL 26 0 0 09 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
Graph Contrastive Learning with Cohesive Subgraph Awareness Yucheng Wu Leye Wang Xiao Han Han-Jia Ye 19 3 0 31 Jan 2024
Quantum Architecture Search with Unsupervised Representation Learning Yize Sun Zixin Wu Yunpu Ma Volker Tresp 30 7 0 21 Jan 2024
A Contrastive Variational Graph Auto-Encoder for Node Clustering Nairouz Mrabah Mohamed Bouguessa Riadh Ksantini DRL 27 7 0 28 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
Uncertainty in Graph Contrastive Learning with Bayesian Neural Networks Alexander M¨ollers Alexander Immer Elvin Isufi Vincent Fortuin SSL BDL UQCV 21 1 0 30 Nov 2023
Graph Prompt Learning: A Comprehensive Survey and Beyond Xiangguo Sun Jiawen Zhang Xixi Wu Hong Cheng Yun Xiong Jia Li 25 51 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training Yuecheng Li Yanming Hu Lele Fu Chuan Chen Lei Yang Zibin Zheng 19 3 0 18 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 16 8 0 07 Nov 2023
Robust Graph Clustering via Meta Weighting for Noisy Graphs Hyeonsoo Jo Fanchen Bu Kijung Shin OOD NoLa 20 7 0 01 Nov 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 20 1 0 15 Oct 2023