Deep Graph Infomax

27 September 2018

Papers citing "Deep Graph Infomax"

50 / 368 papers shown

Title
Hybrid Augmented Automated Graph Contrastive Learning Yifu Chen Qianqian Ren Liu Yong 36 1 0 24 Mar 2023
Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation Guoqiang Sun Yibin Shen Sijing Zhou Xiang Chen Hongyan Liu Chunming Wu Chenyi Lei Xianhui Wei Fei Fang 20 10 0 28 Feb 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 24 8 0 16 Feb 2023
LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation Xuheng Cai Chao Huang Lianghao Xia Xubin Ren 24 198 0 16 Feb 2023
USER: Unsupervised Structural Entropy-based Robust Graph Neural Network Yifei Wang Yupan Wang Zeyu Zhang Song Yang Kaiqi Zhao Jiamou Liu OOD 14 4 0 12 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 32 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 36 30 0 29 Jan 2023
HAT-GAE: Self-Supervised Graph Auto-encoders with Hierarchical Adaptive Masking and Trainable Corruption Chengyu Sun SSL 32 1 0 28 Jan 2023
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration Xiangyu Zhao Hannes Stärk Dominique Beaini Yiren Zhao Pietro Lio' 32 0 0 27 Jan 2023
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure Ryoma Sato 37 5 0 26 Jan 2023
Signed Directed Graph Contrastive Learning with Laplacian Augmentation Taewook Ko Y. Choi Chong-Kwon Kim 26 3 0 12 Jan 2023
Heterogeneous Graph Contrastive Learning with Meta-path Contexts and Adaptively Weighted Negative Samples Jianxiang Yu Qingqing Ge Xiang Li Aoying Zhou 30 7 0 28 Dec 2022
Semi-supervised Fashion Compatibility Prediction by Color Distortion Prediction L. Xiao T. Yamasaki 29 0 0 27 Dec 2022
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks Miao Ye Qinghao Zhang Xingsi Xue Yong Wang Qiuxiang Jiang Hongbing Qiu 13 0 0 26 Dec 2022
Data Augmentation on Graphs: A Technical Survey Jiajun Zhou Chenxuan Xie Shengbo Gong Z. Wen Xiangyu Zhao Qi Xuan Xiaoniu Yang AI4TS 24 8 0 20 Dec 2022
MA-GCL: Model Augmentation Tricks for Graph Contrastive Learning Xumeng Gong Cheng Yang Chuan Shi VLM 22 41 0 14 Dec 2022
Coarse-to-Fine Contrastive Learning on Graphs Peiyao Zhao Yuangang Pan Xin Li Xu Chen Ivor W. Tsang L. Liao SSL 34 5 0 13 Dec 2022
Human Mobility Modeling During the COVID-19 Pandemic via Deep Graph Diffusion Infomax Yang Liu Yu Rong Zhuoning Guo Nuo Chen Tingyang Xu Fugee Tsung Jia Li 44 11 0 12 Dec 2022
Mul-GAD: a semi-supervised graph anomaly detection framework via aggregating multi-view information Zhiyuan Liu Chunjie Cao Jingzhang Sun 16 9 0 11 Dec 2022
Self-supervised Graph Representation Learning for Black Market Account Detection Zequan Xu Lianyun Li Hui Li Qihang Sun Shaofeng Hu Rongrong Ji 9 1 0 06 Dec 2022
Cross-Domain Graph Anomaly Detection via Anomaly-aware Contrastive Alignment Qizhou Wang Guansong Pang Mahsa Salehi Wray L. Buntine C. Leckie 24 29 0 02 Dec 2022
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond Yifei Zhang Hao Zhu Zixing Song Piotr Koniusz Irwin King 45 87 0 02 Dec 2022
Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces Li Sun Junda Ye Hao Peng Feiyang Wang Philip S. Yu CLL 19 31 0 30 Nov 2022
Graph Neural Networks for Breast Cancer Data Integration Teodora Reu 24 1 0 28 Nov 2022
BeGin: Extensive Benchmark Scenarios and An Easy-to-use Framework for Graph Continual Learning Jihoon Ko Shinhwan Kang Taehyung Kwon Heechan Moon Kijung Shin CLL 36 7 0 26 Nov 2022
Self-Supervised Graph Structure Refinement for Graph Neural Networks Jianan Zhao Qianlong Wen Mingxuan Ju Chuxu Zhang Yanfang Ye 40 20 0 12 Nov 2022
Flaky Performances when Pretraining on Relational Databases Shengchao Liu David Vazquez Jian Tang Pierre-Andre Noel 26 2 0 09 Nov 2022
Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning Qian Li Shafiq R. Joty Daling Wang Shi Feng Yifei Zhang 8 3 0 08 Nov 2022
Decoding Neural Signals with Computational Models: A Systematic Review of Invasive BMI Rezwan Firuzi Hamed Ahmadyani Mohammad Foad Abdi Dana Naderi Jahanfar Hassan Ayub Bokani AI4CE 18 1 0 07 Nov 2022
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks Ryien Hosseini F. Simini Austin R. Clyde A. Ramanathan 21 5 0 04 Nov 2022
Position-Aware Subgraph Neural Networks with Data-Efficient Learning Chang-Shu Liu Yuwen Yang Zhe Xie Hongtao Lu Yue Ding 33 4 0 01 Nov 2022
Line Graph Contrastive Learning for Link Prediction Zehua Zhang Shilin Sun Guixiang Ma Caiming Zhong 17 27 0 25 Oct 2022
Unsupervised Image Semantic Segmentation through Superpixels and Graph Neural Networks Moshe Eliasof Nir Ben Zikri Eran Treister SSL GNN 14 3 0 21 Oct 2022
Self-supervised Heterogeneous Graph Pre-training Based on Structural Clustering Yaming Yang Ziyu Guan Zhe Wang Wei Zhao Cai Xu Weigang Lu Jianbin Huang SSL 18 39 0 19 Oct 2022
Unifying Graph Contrastive Learning with Flexible Contextual Scopes Yizhen Zheng Yu Zheng Xiaofei Zhou Chen Gong V. Lee Shirui Pan 30 16 0 17 Oct 2022
Variational Graph Generator for Multi-View Graph Clustering Jianpeng Chen Yawen Ling Jie Xu Yazhou Ren Shudong Huang X. Pu Zhifeng Hao Philip S. Yu Lifang He 33 5 0 13 Oct 2022
Contrastive Trajectory Similarity Learning with Dual-Feature Attention Yanchuan Chang Jianzhong Qi Yuxuan Liang E. Tanin 22 33 0 11 Oct 2022
Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative Tianxin Wei Yuning You Tianlong Chen Yang Shen Jingrui He Zhangyang Wang 29 45 0 07 Oct 2022
Empowering Graph Representation Learning with Test-Time Graph Transformation Wei Jin Tong Zhao Jiayu Ding Yozen Liu Jiliang Tang Neil Shah OOD 86 60 0 07 Oct 2022
Expander Graph Propagation Andreea Deac Marc Lackenby Petar Velivcković 96 52 0 06 Oct 2022
Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum Nian Liu Xiao Wang Deyu Bo Chuan Shi Jian Pei 15 62 0 05 Oct 2022
Automated Graph Self-supervised Learning via Multi-teacher Knowledge Distillation Lirong Wu Yufei Huang Haitao Lin Zicheng Liu Tianyu Fan Stan Z. Li SSL 56 5 0 05 Oct 2022
Spectral Augmentation for Self-Supervised Learning on Graphs Lu Lin Jinghui Chen Hongning Wang OOD 32 48 0 02 Oct 2022
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization Xiaotian Han Tong Zhao Yozen Liu Xia Hu Neil Shah GNN 55 36 0 30 Sep 2022
GPNet: Simplifying Graph Neural Networks via Multi-channel Geometric Polynomials Xun Liu Alex Hay-Man Ng Fangyu Lei Yikuan Zhang Zhengmin Li GNN 22 2 0 30 Sep 2022
Universal Prompt Tuning for Graph Neural Networks Taoran Fang Yunchao Zhang Yang Yang Chunping Wang Lei Chen 24 49 0 30 Sep 2022
Efficient block contrastive learning via parameter-free meta-node approximation Gayan K. Kulatilleke Marius Portmann Shekhar S. Chandra 29 3 0 28 Sep 2022
Graph Soft-Contrastive Learning via Neighborhood Ranking Zhiyuan Ning P. Wang Pengyang Wang Ziyue Qiao Wei Fan Denghui Zhang Yi Du Yuanchun Zhou 23 14 0 28 Sep 2022