Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking

12 July 2017

Stephan Günnemann

Papers citing "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking"

50 / 127 papers shown

Title
Towards Accurate Subgraph Similarity Computation via Neural Graph Pruning Linfeng Liu Xuhong Han Dawei Zhou Liping Liu 38 5 0 19 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh V. Chawla Neil Shah Tong Zhao 27 41 0 11 Oct 2022
Metric Distribution to Vector: Constructing Data Representation via Broad-Scale Discrepancies Xue Liu Dan Sun X. Cao Hao Ye Wei Wei 20 0 0 02 Oct 2022
Clustering for directed graphs using parametrized random walk diffusion kernels Harry Sevi Matthieu Jonckheere Argyris Kalogeratos 23 2 0 01 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
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
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs Taolin Zhang Chuan Chen Yaomin Chang Lin Shu Zibin Zheng FedML 31 14 0 29 Aug 2022
Local Intrinsic Dimensionality Measures for Graphs, with Applications to Graph Embeddings Milovs Savić V. Kurbalija Milovs Radovanović 18 1 0 25 Aug 2022
LTE4G: Long-Tail Experts for Graph Neural Networks Sukwon Yun Kibum Kim Kanghoon Yoon Chanyoung Park 40 39 0 22 Aug 2022
BiFeat: Supercharge GNN Training via Graph Feature Quantization Yuxin Ma Ping Gong Jun Yi Z. Yao Cheng-rong Li Yuxiong He Feng Yan GNN 21 6 0 29 Jul 2022
GOOD: A Graph Out-of-Distribution Benchmark Shurui Gui Xiner Li Limei Wang Shuiwang Ji OOD 33 116 0 16 Jun 2022
COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks Sumit K. Mandal Gokul Krishnan A. Alper Goksoy Gopikrishnan R. Nair Yu Cao Ümit Y. Ogras GNN 29 10 0 15 May 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity Yuexiang Xie Zhen Wang Dawei Gao Daoyuan Chen Liuyi Yao Weirui Kuang Yaliang Li Bolin Ding Jingren Zhou FedML 24 88 0 11 Apr 2022
Supervised Graph Contrastive Learning for Few-shot Node Classification Zhen Tan Kaize Ding Ruocheng Guo Huan Liu OffRL 32 11 0 29 Mar 2022
Improved Dual Correlation Reduction Network Yue Liu Sihang Zhou Xinwang Liu Wenxuan Tu Xihong Yang 26 22 0 25 Feb 2022
Graph Lifelong Learning: A Survey F. Febrinanto Feng Xia Kristen Moore Chandra Thapa Charu C. Aggarwal CLL AI4CE 39 51 0 22 Feb 2022
Graph Masked Autoencoders with Transformers Sixiao Zhang Hongxu Chen Haoran Yang Xiangguo Sun Philip S. Yu Guandong Xu 21 18 0 17 Feb 2022
Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift Hongrui Liu Binbin Hu Xiao Wang Chuan Shi Qing Cui Jun Zhou 97 55 0 27 Jan 2022
Partition-Based Active Learning for Graph Neural Networks Jiaqi Ma Ziqiao Ma Joyce Chai Qiaozhu Mei 24 15 0 23 Jan 2022
Overcoming Oversmoothness in Graph Convolutional Networks via Hybrid Scattering Networks Frederik Wenkel Yimeng Min M. Hirn Michael Perlmutter Guy Wolf GNN 27 19 0 22 Jan 2022
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels Yayong Li Jie Yin Ling-Hao Chen 27 33 0 20 Jan 2022
Sequential Recommendation via Stochastic Self-Attention Ziwei Fan Zhiwei Liu Alice Wang Zahra Nazari Lei Zheng Hao Peng Philip S. Yu AI4TS 31 138 0 16 Jan 2022
Block Modeling-Guided Graph Convolutional Neural Networks Dongxiao He Chundong Liang Huixin Liu Ming-Chang Wen Pengfei Jiao Zhiyong Feng GNN 29 65 0 27 Dec 2021
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification Sung Hwan Mun Min Hyun Han Dongjune Lee Jihwan Kim N. Kim SSL 41 3 0 16 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks Yiwei Wang Yujun Cai Keli Zhang Wei Wang Henghui Ding Muhao Chen Jing Tang Bryan Hooi 34 3 0 01 Dec 2021
Optimizing Sparse Matrix Multiplications for Graph Neural Networks Shenghao Qiu You Liang Zheng Wang GNN 25 18 0 30 Oct 2021
Robustness of Graph Neural Networks at Scale Simon Geisler Tobias Schmidt Hakan cSirin Daniel Zügner Aleksandar Bojchevski Stephan Günnemann AAML 30 125 0 26 Oct 2021
Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification Maximilian Stadler Bertrand Charpentier Simon Geisler Daniel Zügner Stephan Günnemann UQCV BDL 41 81 0 26 Oct 2021
Self-supervised Contrastive Attributed Graph Clustering Wei Xia Quanxue Gao Ming Yang Xinbo Gao SSL 61 29 0 15 Oct 2021
Asymmetric Graph Representation Learning Zhuo Tan B. Liu Guosheng Yin 24 1 0 14 Oct 2021
Adaptive Multi-layer Contrastive Graph Neural Networks S. Shi Pengfei Xie Xu Luo Kai Qiao Linyuan Wang Jian Chen B. Yan OOD 19 5 0 29 Sep 2021
CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning Sarkar Snigdha Sarathi Das Arzoo Katiyar R. Passonneau Rui Zhang 35 141 0 15 Sep 2021
Node Feature Kernels Increase Graph Convolutional Network Robustness M. Seddik Changmin Wu J. Lutzeyer Michalis Vazirgiannis AAML 30 8 0 04 Sep 2021
Unsupervised Domain-adaptive Hash for Networks Tao He Lianli Gao Jingkuan Song Yuan-Fang Li 23 1 0 20 Aug 2021
Semi-supervised Network Embedding with Differentiable Deep Quantisation Tao He Lianli Gao Jingkuan Song Yuan-Fang Li 31 5 0 20 Aug 2021
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly Detection Yulin Zhu Y. Lai Kaifa Zhao Xiapu Luo Ming Yuan Jian Ren Kai Zhou AAML 33 24 0 18 Jun 2021
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation Ziwei Fan Zhiwei Liu Lei Zheng Shen Wang Philip S. Yu 38 49 0 11 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Technique Steph-Yves M. Louis Alireza Nasiri Fatima J. Rolland Cameron Mitro Jianjun Hu 71 9 0 17 Feb 2021
Large-Scale Representation Learning on Graphs via Bootstrapping S. Thakoor Corentin Tallec M. G. Azar Mehdi Azabou Eva L. Dyer Rémi Munos Petar Velivcković Michal Valko SSL 29 217 0 12 Feb 2021
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks Yujun Yan Milad Hashemi Kevin Swersky Yaoqing Yang Danai Koutra 36 248 0 12 Feb 2021
Understanding graph embedding methods and their applications Mengjia Xu 26 128 0 15 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 28 20 0 07 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey Shiwen Wu Fei Sun Wentao Zhang Xu Xie Bin Cui GNN 58 1,175 0 04 Nov 2020
Geometric Scattering Attention Networks Yimeng Min Frederik Wenkel Guy Wolf 21 9 0 28 Oct 2020
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks Boyuan Feng Yuke Wang Zihan Wang Yufei Ding AAML 16 34 0 22 Sep 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 36 34 0 19 Sep 2020
Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning Sheng Wan Shirui Pan Jian Yang Chen Gong SSL 22 137 0 15 Sep 2020
Inductive Link Prediction for Nodes Having Only Attribute Information Yu Hao Xin Cao Yixiang Fang Xike Xie Sibo Wang 22 76 0 16 Jul 2020
GraphCL: Contrastive Self-Supervised Learning of Graph Representations H. Hafidi Mounir Ghogho P. Ciblat A. Swami SSL 28 53 0 15 Jul 2020