Deep Graph Similarity Learning: A Survey

25 December 2019

Philip S. Yu

Papers citing "Deep Graph Similarity Learning: A Survey"

50 / 55 papers shown

Title
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 57 210 0 27 Jan 2020
GLMNet: Graph Learning-Matching Networks for Feature Matching Bo Jiang Pengfei Sun Jin Tang Bin Luo 24 34 0 18 Nov 2019
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks Jiahao Liu Guixiang Ma Fei Jiang Chun-Ta Lu Philip S. Yu A. Ragin 101 26 0 08 Nov 2019
Temporal Network Sampling Nesreen Ahmed N. Duffield Ryan A. Rossi AI4TS 49 3 0 18 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 48 23 0 06 Oct 2019
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications Ryan A. Rossi Di Jin Sungchul Kim Nesreen Ahmed Danai Koutra J. B. Lee 42 38 0 22 Aug 2019
Adaptive Shrinkage Estimation for Streaming Graphs Nesreen Ahmed N. Duffield 8 2 0 02 Aug 2019
Graph Representation Learning via Hard and Channel-Wise Attention Networks Hongyang Gao Shuiwang Ji GNN 41 57 0 05 Jul 2019
Explainability Techniques for Graph Convolutional Networks Federico Baldassarre Hossein Azizpour GNN FAtt 148 264 0 31 May 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 123 273 0 30 May 2019
Graph U-Nets Hongyang Gao Shuiwang Ji AI4CE SSL SSeg GNN 71 1,073 0 11 May 2019
Graph Matching Networks for Learning the Similarity of Graph Structured Objects Yujia Li Chenjie Gu T. Dullien Oriol Vinyals Pushmeet Kohli 92 521 0 29 Apr 2019
Graph Kernels: A Survey Giannis Nikolentzos Giannis Siglidis Michalis Vazirgiannis 103 123 0 27 Apr 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 159 915 0 26 Apr 2019
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 32 57 0 21 Apr 2019
Generalizing from a Few Examples: A Survey on Few-Shot Learning Yaqing Wang Quanming Yao James T. Kwok L. Ni 74 1,802 0 10 Apr 2019
Learning Combinatorial Embedding Networks for Deep Graph Matching Runzhong Wang Junchi Yan Xiaokang Yang 32 236 0 01 Apr 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 111 1,300 0 10 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 321 8,441 0 03 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 565 5,457 0 20 Dec 2018
Convolutional Set Matching for Graph Similarity Yunsheng Bai Haoyang Ding Yizhou Sun Wei Wang GNN 41 38 0 23 Oct 2018
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation Yunsheng Bai Haoyang Ding Song Bian Ting-Li Chen Yizhou Sun Wei Wang GNN 37 319 0 16 Aug 2018
Large-Scale Learnable Graph Convolutional Networks Hongyang Gao Zhengyang Wang Shuiwang Ji GNN 68 589 0 12 Aug 2018
Attention Models in Graphs: A Survey J. B. Lee Ryan A. Rossi Sungchul Kim Nesreen K. Ahmed Eunyee Koh GNN 47 162 0 20 Jul 2018
N-Gram Graph: Simple Unsupervised Representation for Graphs, with Applications to Molecules Shengchao Liu M. F. Demirel Yingyu Liang GNN NAI 39 193 0 24 Jun 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 188 3,160 0 20 Jun 2018
Rethinking Knowledge Graph Propagation for Zero-Shot Learning Michael C. Kampffmeyer Yinbo Chen Xiaodan Liang Hao Wang Yujia Zhang Eric Xing 135 305 0 29 May 2018
VERSE: Versatile Graph Embeddings from Similarity Measures Anton Tsitsulin Davide Mottin Panagiotis Karras Emmanuel Müller 50 267 0 13 Mar 2018
Learning Role-based Graph Embeddings Nesreen Ahmed Ryan Rossi J. B. Lee Theodore L. Willke R. Zhou Xiangnan Kong Hoda Eldardiry 48 96 0 07 Feb 2018
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model Bo Wu Yang Liu B. Lang Lei Huang 39 69 0 10 Dec 2017
Network Representation Learning: A Survey Daokun Zhang Jie Yin Xingquan Zhu Chengqi Zhang GNN AI4TS 76 620 0 04 Dec 2017
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications Hongyun Cai V. Zheng Kevin Chen-Chuan Chang AI4TS 91 1,786 0 22 Sep 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 79 3,675 0 14 Sep 2017
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis Guixiang Ma Chun-Ta Lu Lifang He Philip S. Yu A. Ragin 29 40 0 12 Sep 2017
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection Xiaojun Xu Chang-rui Liu Qian Feng Heng Yin Le Song D. Song GNN 39 582 0 22 Aug 2017
graph2vec: Learning Distributed Representations of Graphs A. Narayanan Mahinthan Chandramohan R. Venkatesan Lihui Chen Yang Liu Shantanu Jaiswal GNN 62 734 0 17 Jul 2017
Few-Shot Learning Through an Information Retrieval Lens Eleni Triantafillou R. Zemel R. Urtasun 48 238 0 09 Jul 2017
Attributed Network Embedding for Learning in a Dynamic Environment Jundong Li Harsh Dani Xia Hu Jiliang Tang Yi-Ju Chang Huan Liu 50 366 0 06 Jun 2017
Graph Embedding Techniques, Applications, and Performance: A Survey Palash Goyal Emilio Ferrara GNN AI4TS 89 1,724 0 08 May 2017
Dynamic Graph Convolutional Networks Franco Manessi A. Rozza M. Manzo GNN 64 368 0 20 Apr 2017
On Sampling from Massive Graph Streams Nesreen Ahmed N. Duffield Theodore L. Willke Ryan A. Rossi 12 93 0 07 Mar 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 447 28,901 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 154 10,825 0 03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering M. Defferrard Xavier Bresson P. Vandergheynst GNN 253 7,622 0 30 Jun 2016
On Valid Optimal Assignment Kernels and Applications to Graph Classification Nils M. Kriege Pierre-Louis Giscard Richard C. Wilson 70 213 0 03 Jun 2016
Discriminative Embeddings of Latent Variable Models for Structured Data H. Dai Bo Dai Le Song BDL 106 695 0 17 Mar 2016
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 281 13,079 0 12 Mar 2015
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 182 9,231 0 16 May 2014
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 224 9,735 0 26 Mar 2014
Spectral Networks and Locally Connected Networks on Graphs Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun GNN 141 4,856 0 21 Dec 2013