Variational Graph Auto-Encoders

21 November 2016

Papers citing "Variational Graph Auto-Encoders"

50 / 577 papers shown

Title
Graph Generative Models for Fast Detector Simulations in High Energy Physics A. Hariri Darya Dyachkova Sergei Gleyzer AI4CE 24 6 0 05 Apr 2021
Bayesian Graph Convolutional Network for Traffic Prediction Jun Fu Wei Zhou Zhibo Chen GNN BDL 21 8 0 01 Apr 2021
Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization Chenguang Wang Ziwen Liu SSL 36 17 0 24 Mar 2021
Learning physical properties of anomalous random walks using graph neural networks Hippolyte Verdier M. Duval François Laurent Alhassan Cassé Christian L. Vestergaard Jean-Baptiste Masson 21 25 0 22 Mar 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks C. Connell Yangkun Wang 14 0 0 12 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 40 108 0 08 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 30 33 0 08 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 10 67 0 04 Mar 2021
A Survey on Deep Semi-supervised Learning Xiangli Yang Zixing Song Irwin King Zenglin Xu 27 569 0 28 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 49 290 0 27 Feb 2021
Graphfool: Targeted Label Adversarial Attack on Graph Embedding Jinyin Chen Xiang Lin Dunjie Zhang Haibin Zheng Guohan Huang Hui Xiong Xiang Lin AAML 56 3 0 24 Feb 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 41 326 0 22 Feb 2021
E(n) Equivariant Graph Neural Networks Victor Garcia Satorras Emiel Hoogeboom Max Welling 35 981 0 19 Feb 2021
Temporal-Amount Snapshot MultiGraph for Ethereum Transaction Tracking Yunyi Xie Jie Jin Jian Zhang Shanqing Yu Qi Xuan AI4TS 22 11 0 16 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 29 218 0 12 Feb 2021
GraphAttacker: A General Multi-Task GraphAttack Framework Jinyin Chen Dunjie Zhang Zhaoyan Ming Kejie Huang Wenrong Jiang Chen Cui AAML 41 14 0 18 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 39 5 0 14 Jan 2021
SDGNN: Learning Node Representation for Signed Directed Networks Junjie Huang Huawei Shen Liang Hou Xueqi Cheng 45 83 0 07 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 90 7 0 06 Jan 2021
Action Recognition with Kernel-based Graph Convolutional Networks H. Sahbi GNN 29 1 0 28 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 27 117 0 16 Dec 2020
Molecular graph generation with Graph Neural Networks P. Bongini Monica Bianchini F. Scarselli GNN 30 137 0 14 Dec 2020
CommPOOL: An Interpretable Graph Pooling Framework for Hierarchical Graph Representation Learning Haoteng Tang Guixiang Ma Lifang He Heng-Chiao Huang Liang Zhan GNN 35 24 0 10 Dec 2020
Unsupervised Adversarially-Robust Representation Learning on Graphs Jiarong Xu Yang Yang Junru Chen Chunping Wang Xin Jiang Jiangang Lu Yizhou Sun SSL AAML OOD 38 36 0 04 Dec 2020
Point2Skeleton: Learning Skeletal Representations from Point Clouds Chu-Hsing Lin Changjian Li Yuan Liu Nenglun Chen Yi-King Choi Wenping Wang 3DPC 28 49 0 01 Dec 2020
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 38 295 0 30 Nov 2020
Road Scene Graph: A Semantic Graph-Based Scene Representation Dataset for Intelligent Vehicles Yafu Tian Alexander Carballo Ruifeng Li K. Takeda GNN 31 27 0 27 Nov 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 29 136 0 23 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 33 315 0 17 Nov 2020
Learning to Drop: Robust Graph Neural Network via Topological Denoising Dongsheng Luo Wei Cheng Wenchao Yu Bo Zong Jingchao Ni Haifeng Chen Xiang Zhang OOD 21 259 0 13 Nov 2020
Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation Diego Kozlowski Jennifer Dusdal Jun Pang A. Zilian 18 13 0 05 Nov 2020
GAGE: Geometry Preserving Attributed Graph Embeddings Charilaos I. Kanatsoulis N. Sidiropoulos 25 2 0 03 Nov 2020
Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang Pan Li Yinglong Xia Kai Wang Long Jin 19 186 0 30 Oct 2020
GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs Hao Xu Shengqi Sang Peizhen Bai Laurence Yang Haiping Lu GNN 24 15 0 29 Oct 2020
Graph Contrastive Learning with Adaptive Augmentation Yanqiao Zhu Yichen Xu Feng Yu Qiang Liu Shu Wu Liang Wang 34 1,078 0 27 Oct 2020
From Local Structures to Size Generalization in Graph Neural Networks Gilad Yehudai Ethan Fetaya E. Meirom Gal Chechik Haggai Maron GNN AI4CE 172 123 0 17 Oct 2020
Dirichlet Graph Variational Autoencoder Jia Li Tomas Yu Jiajin Li Honglei Zhang Kangfei Zhao Yu Rong Hong Cheng Junzhou Huang BDL 24 52 0 09 Oct 2020
Generative Model-Enhanced Human Motion Prediction Anthony Bourached Ryan-Rhys Griffiths Robert J. Gray A. Jha P. Nachev 34 15 0 05 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 43 226 0 30 Sep 2020
Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning Yizhu Jiao Yun Xiong Jiawei Zhang Yao Zhang Tianqi Zhang Yangyong Zhu SSL 21 167 0 22 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
Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning Costas Mavromatis George Karypis 27 54 0 15 Sep 2020
Smoothness Sensor: Adaptive Smoothness-Transition Graph Convolutions for Attributed Graph Clustering Chaojie Ji Hongwei Chen Ruxin Wang Yunpeng Cai Hongyan Wu 17 12 0 12 Sep 2020
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization Qi Zhu Carl Yang Yidan Xu Haonan Wang Chao Zhang Jiawei Han 48 117 0 11 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation Qinghui Liu Michael C. Kampffmeyer Robert Jenssen Arnt-Børre Salberg GNN SSeg 28 10 0 03 Sep 2020
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning Pan Li Yanbang Wang Hongwei Wang J. Leskovec GNN 31 12 0 31 Aug 2020
Graph Learning for Combinatorial Optimization: A Survey of State-of-the-Art Yun Peng Byron Choi Jianliang Xu 25 5 0 26 Aug 2020
Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning Wentao Bao Qi Yu Yu Kong 35 133 0 01 Aug 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 24 156 0 31 Jul 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