Deep Graph Infomax

27 September 2018

Papers citing "Deep Graph Infomax"

50 / 303 papers shown

Title
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 23 2 0 19 Dec 2023
Isomorphic-Consistent Variational Graph Auto-Encoders for Multi-Level Graph Representation Learning Hanxuan Yang Qingchao Kong Wenji Mao BDL 13 0 0 09 Dec 2023
Jointly spatial-temporal representation learning for individual trajectories Fei Huang Jianrong Lv Yang Yue AI4TS 70 0 0 07 Dec 2023
Self-Supervised Pretraining for Heterogeneous Hypergraph Neural Networks Abdalgader Abubaker Takanori Maehara M. Nimishakavi Vassilis Plachouras SSL 43 0 0 19 Nov 2023
Temporal Graph Representation Learning with Adaptive Augmentation Contrastive Hongjiang Chen Pengfei Jiao Huijun Tang Huaming Wu 13 8 0 07 Nov 2023
Spectral Clustering of Attributed Multi-relational Graphs Ylli Sadikaj Yllka Velaj Sahar Behzadi Claudia Plant 19 21 0 03 Nov 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks Jiarong Xu Renhong Huang Xin Jiang Yuxuan Cao Carl Yang Chunping Wang Yang Yang AI4CE 31 14 0 02 Nov 2023
Rethinking Semi-Supervised Imbalanced Node Classification from Bias-Variance Decomposition Divin Yan Gengchen Wei Chen Yang Shengzhong Zhang Zengfeng Huang AI4CE 36 11 0 28 Oct 2023
Graph Ranking Contrastive Learning: A Extremely Simple yet Efficient Method Yulan Hu Ouyang Sheng Jingyu Liu Ge Chen Zhirui Yang Junchen Wan Fuzheng Zhang Zhongyuan Wang Yong Liu 26 0 0 23 Oct 2023
GraphGPT: Graph Instruction Tuning for Large Language Models Jiabin Tang Yuhao Yang Wei Wei Lei Shi Lixin Su Suqi Cheng Dawei Yin Chao Huang 29 121 0 19 Oct 2023
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection Junjun Pan Yixin Liu Yizhen Zheng Shirui Pan 34 18 0 18 Oct 2023
DropMix: Better Graph Contrastive Learning with Harder Negative Samples Yueqi Ma Minjie Chen Xiang Li SSL 15 1 0 15 Oct 2023
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking Yang Yu Qi Liu Kai Zhang Yuren Zhang Chao Song Min Hou Yuqing Yuan Zhihao Ye Zaixin Zhang Sanshi Lei Yu 30 2 0 15 Oct 2023
Semi-supervised Domain Adaptation on Graphs with Contrastive Learning and Minimax Entropy Jiaren Xiao Quanyu Dai X. Shen Xiaochen Xie Jing Dai James Lam Ka-Wai Kwok 28 6 0 14 Sep 2023
GiGaMAE: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction Yucheng Shi Yushun Dong Qiaoyu Tan Jundong Li Ninghao Liu 40 24 0 18 Aug 2023
A Graph Encoder-Decoder Network for Unsupervised Anomaly Detection Mahsa Mesgaran A. Ben Hamza 29 3 0 15 Aug 2023
MOLE: MOdular Learning FramEwork via Mutual Information Maximization Tianchao Li Yulong Pei 25 0 0 15 Aug 2023
Local Structure-aware Graph Contrastive Representation Learning Kai Yang Yuan Liu Zijuan Zhao P. Ding Wen-feng Zhao 25 3 0 07 Aug 2023
DiffusAL: Coupling Active Learning with Graph Diffusion for Label-Efficient Node Classification Sandra Gilhuber Julian Busch Daniel Rotthues Christian M. m. Frey Thomas Seidl DiffM 31 1 0 31 Jul 2023
CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks Yuan-Qi Bei Haonan Xu Sheng Zhou Huixuan Chi Haishuai Wang Mengdi Zhang Zhao Li Jiajun Bu 36 6 0 06 Jul 2023
HomoGCL: Rethinking Homophily in Graph Contrastive Learning Wenzhong Li Changdong Wang Hui Xiong Jian-Huang Lai 24 22 0 16 Jun 2023
Uncertainty-Aware Robust Learning on Noisy Graphs Shuyi Chen Kaize Ding Shixiang Zhu 11 5 0 14 Jun 2023
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection Hezhe Qiao Guansong Pang 19 24 0 29 May 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining Shengchao Liu Weitao Du Zhiming Ma Hongyu Guo Jian Tang 26 30 0 28 May 2023
GC-Flow: A Graph-Based Flow Network for Effective Clustering Tianchun Wang F. Mirzazadeh X. Zhang Jing Chen BDL 40 7 0 26 May 2023
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning Jiahao Chen Yurou Liu Jiangmeng Li Bing-Huang Su Jirong Wen 21 0 0 22 May 2023
GraphFC: Customs Fraud Detection with Label Scarcity Karandeep Singh Yu-Che Tsai Cheng-Te Li Meeyoung Cha Shou-de Lin 16 7 0 19 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 18 1 0 18 May 2023
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs Jintang Li Sheng Tian Ruofan Wu Liang Zhu Welong Zhao Changhua Meng Liang Chen Zibin Zheng Hongzhi Yin 29 10 0 18 May 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 22 4 0 17 May 2023
Graph Masked Autoencoder for Sequential Recommendation Yaowen Ye Lianghao Xia Chao Huang 25 38 0 08 May 2023
On the Robustness of Aspect-based Sentiment Analysis: Rethinking Model, Data, and Training Hao Fei Tat-Seng Chua Chenliang Li Donghong Ji Meishan Zhang Yafeng Ren 19 39 0 19 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 22 6 0 15 Apr 2023
Attributed Multi-order Graph Convolutional Network for Heterogeneous Graphs Zhaoliang Chen Zhihao Wu Luying Zhong Claudia Plant Shiping Wang Wenzhong Guo 17 9 0 13 Apr 2023
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph Yanming Hu Chuan Chen Bowen Deng Yujing Lai Hao Lin Zibin Zheng Jing Bian 27 1 0 11 Apr 2023
Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling Haotao Wang Ziyu Jiang Yuning You Yan Han Gaowen Liu Jayanth Srinivasa Ramana Rao Kompella Zhangyang Wang 21 28 0 06 Apr 2023
Enhancing Multimodal Entity and Relation Extraction with Variational Information Bottleneck Shiyao Cui Jiangxia Cao Xin Cong Jiawei Sheng Quangang Li Tingwen Liu Jinqiao Shi 17 22 0 05 Apr 2023
Abnormal Event Detection via Hypergraph Contrastive Learning Bo Yan Cheng Yang Chuan Shi Jiawei Liu Xiaochen Wang 14 4 0 02 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Hybrid Augmented Automated Graph Contrastive Learning Yifu Chen Qianqian Ren Liu Yong 31 1 0 24 Mar 2023
Neural Algorithmic Reasoning with Causal Regularisation Beatrice Bevilacqua Kyriacos Nikiforou Borja Ibarz Ioana Bica Michela Paganini Charles Blundell Jovana Mitrović Petar Velivcković OOD CML NAI 36 26 0 20 Feb 2023
Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey from Precision to Interpretability Zhiqiang Zhong A. Barkova Davide Mottin 22 8 0 16 Feb 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 13 198 0 16 Feb 2023
Affinity Uncertainty-based Hard Negative Mining in Graph Contrastive Learning Chaoxi Niu Guansong Pang Ling-Hao Chen 24 9 0 31 Jan 2023
PointSmile: Point Self-supervised Learning via Curriculum Mutual Information Xin Li Mingqiang Wei Songcan Chen 3DPC SSL 29 3 0 30 Jan 2023
SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking Xiang Li Tiandi Ye Caihua Shan Dongsheng Li Ming Gao SSL 34 30 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 24 1 0 28 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao Hannes Stärk Dominique Beaini Yiren Zhao Pietro Lio' 24 0 0 27 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 28 5 0 26 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 22 7 0 28 Dec 2022