Representation Learning on Graphs: Methods and Applications

17 September 2017

Papers citing "Representation Learning on Graphs: Methods and Applications"

50 / 305 papers shown

Title
Nonlinear Higher-Order Label Spreading Francesco Tudisco Austin R. Benson Konstantin Prokopchik 30 32 0 08 Jun 2020
InteractionNet: Modeling and Explaining of Noncovalent Protein-Ligand Interactions with Noncovalent Graph Neural Network and Layer-Wise Relevance Propagation Hyeoncheol Cho E. Lee I. Choi GNN FAtt 25 4 0 12 May 2020
A Graph Feature Auto-Encoder for the Prediction of Unobserved Node Features on Biological Networks Ramin Hasibi T. Michoel AI4CE 23 1 0 08 May 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy Ines Chami Sami Abu-El-Haija Bryan Perozzi Christopher Ré Kevin Patrick Murphy 22 285 0 07 May 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 32 2,652 0 02 May 2020
RigNet: Neural Rigging for Articulated Characters Zhan Xu Yang Zhou E. Kalogerakis Chris Landreth Karan Singh 3DH 30 51 0 01 May 2020
Out-of-Sample Representation Learning for Multi-Relational Graphs Marjan Albooyeh Rishab Goel Seyed Mehran Kazemi OOD 24 3 0 28 Apr 2020
Adversarial Attacks and Defenses: An Interpretation Perspective Ninghao Liu Mengnan Du Ruocheng Guo Huan Liu Xia Hu AAML 26 8 0 23 Apr 2020
Principal Neighbourhood Aggregation for Graph Nets Gabriele Corso Luca Cavalleri Dominique Beaini Pietro Lio Petar Velickovic GNN 27 651 0 12 Apr 2020
Graph Enhanced Representation Learning for News Recommendation Suyu Ge Chuhan Wu Fangzhao Wu Tao Qi Yongfeng Huang AI4TS 22 123 0 31 Mar 2020
word2vec, node2vec, graph2vec, X2vec: Towards a Theory of Vector Embeddings of Structured Data Martin Grohe 29 170 0 27 Mar 2020
SAC: Accelerating and Structuring Self-Attention via Sparse Adaptive Connection Xiaoya Li Yuxian Meng Mingxin Zhou Qinghong Han Fei Wu Jiwei Li 24 20 0 22 Mar 2020
Inducing Optimal Attribute Representations for Conditional GANs Binod Bhattarai Tae-Kyun Kim GAN 37 19 0 13 Mar 2020
A Benchmarking Study of Embedding-based Entity Alignment for Knowledge Graphs Zequn Sun Qingheng Zhang Wei Hu Chengming Wang Muhao Chen F. Akrami Chengkai Li 24 242 0 10 Mar 2020
Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution Sankalp Garg Navodita Sharma Woojeong Jin Xiang Ren AI4TS 30 8 0 09 Mar 2020
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks Zhiqian Chen Fanglan Chen Lei Zhang Taoran Ji Kaiqun Fu Liang Zhao Feng Chen Lingfei Wu Charu Aggarwal Chang-Tien Lu 29 45 0 27 Feb 2020
Benchmarking Network Embedding Models for Link Prediction: Are We Making Progress? Alexandru Mara Jefrey Lijffijt T. D. Bie 43 22 0 25 Feb 2020
Residual Correlation in Graph Neural Network Regression Junteng Jia Austin R. Benson 33 25 0 19 Feb 2020
Inductive Representation Learning on Temporal Graphs Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan AI4CE 23 609 0 19 Feb 2020
Ensemble Deep Learning on Large, Mixed-Site fMRI Datasets in Autism and Other Tasks M. Leming Juan M Gorriz J. Suckling 14 51 0 14 Feb 2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs S. Bandyopadhyay Kishalay Das M. Murty GNN 22 32 0 09 Feb 2020
FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding Guillaume Salha-Galvan Romain Hennequin Jean-Baptiste Remy Manuel Moussallam Michalis Vazirgiannis GNN BDL 29 6 0 05 Feb 2020
Efficient and Stable Graph Scattering Transforms via Pruning V. Ioannidis Siheng Chen G. Giannakis 28 11 0 27 Jan 2020
Deep Graph Matching Consensus Matthias Fey J. E. Lenssen Christopher Morris Jonathan Masci Nils M. Kriege 30 207 0 27 Jan 2020
ExEm: Expert Embedding using dominating set theory with deep learning approaches Narjes Nikzad Khasmakhi M. Balafar M. Feizi-Derakhshi C. Motamed 24 18 0 16 Jan 2020
Graph Attentional Autoencoder for Anticancer Hyperfood Prediction Guadalupe Gonzalez Shunwang Gong I. Laponogov Kirill Veselkov M. Bronstein GNN 29 3 0 16 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Yurui Lai Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Xiaochun Ye Yuan Xie GNN 30 287 0 07 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica Alessio Micheli Marco Podda AI4CE GNN 51 277 0 29 Dec 2019
Characterizing and Detecting Money Laundering Activities on the Bitcoin Network Yining Hu Suranga Seneviratne Kanchana Thilakarathna K. Fukuda Aruna Seneviratne 21 52 0 27 Dec 2019
Neural Subgraph Isomorphism Counting Xin Liu Haojie Pan Mutian He Yangqiu Song Xin Jiang Lifeng Shang GNN 28 78 0 25 Dec 2019
Effective Decoding in Graph Auto-Encoder using Triadic Closure Han Shi Haozheng Fan James T. Kwok AI4CE 14 39 0 26 Nov 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks Difan Zou Ziniu Hu Yewen Wang Song Jiang Yizhou Sun Quanquan Gu GNN 25 277 0 17 Nov 2019
Inductive Relation Prediction by Subgraph Reasoning Komal K. Teru E. Denis William L. Hamilton NAI AI4CE 29 388 0 16 Nov 2019
Auto-encoding brain networks with applications to analyzing large-scale brain imaging datasets Meimei Liu Zhengwu Zhang David B. Dunson 13 4 0 07 Nov 2019
Hyper-SAGNN: a self-attention based graph neural network for hypergraphs Ruochi Zhang Yuesong Zou Jian Ma GNN 19 192 0 06 Nov 2019
G2SAT: Learning to Generate SAT Formulas Jiaxuan You Haoze Wu Clark W. Barrett R. Ramanujan J. Leskovec NAI 27 35 0 29 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 34 23 0 06 Oct 2019
Graph Analysis and Graph Pooling in the Spatial Domain M. Rahmani M. Liakata GNN 34 3 0 03 Oct 2019
On the Equivalence between Positional Node Embeddings and Structural Graph Representations Balasubramaniam Srinivasan Bruno Ribeiro 17 27 0 01 Oct 2019
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 34 63 0 26 Sep 2019
Learning Interpretable Disease Self-Representations for Drug Repositioning Fabrizio Frasca Diego Galeano Guadalupe Gonzalez I. Laponogov Kirill Veselkov A. Paccanaro M. Bronstein 17 2 0 14 Sep 2019
Graph Transfer Learning via Adversarial Domain Adaptation with Graph Convolution Quanyu Dai Xiao-Ming Wu Jiaren Xiao Xiao Shen Dan Wang OOD 29 85 0 04 Sep 2019
Image Classification with Hierarchical Multigraph Networks Boris Knyazev Xiaoyu Lin Mohamed R. Amer Graham W. Taylor GNN BDL 25 35 0 21 Jul 2019
Network Embedding: on Compression and Learning Esra Akbas M. E. Aktas GNN 21 9 0 05 Jul 2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings Andrey Kutuzov M. Dorgham Oleksiy Oliynyk Chris Biemann Alexander Panchenko 15 6 0 17 Jun 2019
Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang S. Lin Wen Zhang Ping Zhang Huan Sun GNN 15 325 0 12 Jun 2019
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification Jun Wu Jingrui He Jiejun Xu GNN 22 195 0 05 Jun 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 20 275 0 29 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 29 26 0 27 May 2019