Graph Neural Networks: Taxonomy, Advances and Trends

16 December 2020

Papers citing "Graph Neural Networks: Taxonomy, Advances and Trends"

50 / 339 papers shown

Title
Representation Learning on Graphs with Jumping Knowledge Networks Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi Stefanie Jegelka GNN 471 1,965 0 09 Jun 2018
RGCNN: Regularized Graph CNN for Point Cloud Segmentation Gusi Te Wei Hu Zongming Guo Amin Zheng 3DPC 54 322 0 08 Jun 2018
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation Jiaxuan You Bowen Liu Rex Ying Vijay S. Pande J. Leskovec GNN 267 895 0 07 Jun 2018
Adversarial Attack on Graph Structured Data H. Dai Hui Li Tian Tian Xin Huang L. Wang Jun Zhu Le Song GNN AAML OOD 75 767 0 06 Jun 2018
Graph Convolutional Neural Networks for Web-Scale Recommender Systems Rex Ying Ruining He Kaifeng Chen Pong Eksombatchai William L. Hamilton J. Leskovec GNN BDL 196 3,513 0 06 Jun 2018
Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease Sarah Parisot S. Ktena Enzo Ferrante M. J. Lee Ricardo Guerrero Ben Glocker Daniel Rueckert MedIm 49 529 0 05 Jun 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 441 3,101 0 04 Jun 2018
Graph networks as learnable physics engines for inference and control Alvaro Sanchez-Gonzalez N. Heess Jost Tobias Springenberg J. Merel Martin Riedmiller R. Hadsell Peter W. Battaglia GNN AI4CE PINN OCL 143 597 0 04 Jun 2018
Relational inductive bias for physical construction in humans and machines Jessica B. Hamrick Kelsey R. Allen V. Bapst Tina Zhu Kevin R. McKee J. Tenenbaum Peter W. Battaglia 160 111 0 04 Jun 2018
MolGAN: An implicit generative model for small molecular graphs Nicola De Cao Thomas Kipf GNN GAN 122 917 0 30 May 2018
Deeply learning molecular structure-property relationships using attention- and gate-augmented graph convolutional network Seongok Ryu Jaechang Lim S. Hong W. Kim GNN 18 67 0 28 May 2018
Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning Yanbin Liu Juho Lee Minseop Park Saehoon Kim Eunho Yang Sung Ju Hwang Yi Yang 86 667 0 25 May 2018
Deep Graph Translation Xiaojie Guo Lingfei Wu Liang Zhao GNN 41 32 0 25 May 2018
Hyperbolic Attention Networks Çağlar Gülçehre Misha Denil Mateusz Malinowski Ali Razavi Razvan Pascanu ... Peter W. Battaglia V. Bapst David Raposo Adam Santoro Nando de Freitas 118 222 0 24 May 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 53 453 0 23 May 2018
Graph Capsule Convolutional Neural Networks Saurabh Verma Zhi-Li Zhang GNN 67 128 0 21 May 2018
Adversarial Attacks on Neural Networks for Graph Data Daniel Zügner Amir Akbarnejad Stephan Günnemann GNN AAML OOD 115 1,060 0 21 May 2018
Learning Graph-Level Representations with Recurrent Neural Networks Yu Jin Joseph Jaja GNN SSL 42 13 0 20 May 2018
Sentence-State LSTM for Text Representation Yue Zhang Qi Liu Linfeng Song 48 208 0 07 May 2018
A Graph-to-Sequence Model for AMR-to-Text Generation Linfeng Song Yue Zhang Zhiguo Wang D. Gildea GNN AIMat 71 254 0 07 May 2018
Exploiting Semantics in Neural Machine Translation with Graph Convolutional Networks Diego Marcheggiani Jasmijn Bastings Ivan Titov GNN NAI 78 186 0 23 Apr 2018
Semi-supervised User Geolocation via Graph Convolutional Networks Afshin Rahimi Trevor Cohn Timothy Baldwin GNN SSL 56 158 0 22 Apr 2018
Image Generation from Scene Graphs Justin Johnson Agrim Gupta Li Fei-Fei GNN 280 818 0 04 Apr 2018
Graph2Seq: Graph to Sequence Learning with Attention-based Neural Networks Kun Xu Lingfei Wu Zhiguo Wang Yansong Feng Michael Witbrock V. Sheinin GNN 52 173 0 03 Apr 2018
Graph Convolutional Neural Networks via Scattering Dongmian Zou Gilad Lerman GNN 45 122 0 31 Mar 2018
Iterative Visual Reasoning Beyond Convolutions Xinlei Chen Li Li Li Fei-Fei Abhinav Gupta LRM GNN 137 215 0 29 Mar 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 81 299 0 28 Mar 2018
Tensor graph convolutional neural network Tong Zhang Wenming Zheng Zhen Cui Yang Li GNN 42 13 0 27 Mar 2018
Attention, Learn to Solve Routing Problems! W. Kool H. V. Hoof Max Welling 83 1,193 0 22 Mar 2018
Zero-shot Recognition via Semantic Embeddings and Knowledge Graphs Xinyu Wang Yufei Ye Abhinav Gupta 137 586 0 21 Mar 2018
Inference in Probabilistic Graphical Models by Graph Neural Networks Kijung Yoon Renjie Liao Yuwen Xiong Lisa Zhang Ethan Fetaya R. Urtasun R. Zemel Xaq Pitkow TPM 103 99 0 21 Mar 2018
GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs Jiani Zhang Xingjian Shi Junyuan Xie Hao Ma Irwin King Dit-Yan Yeung GNN 93 573 0 20 Mar 2018
Graph Partition Neural Networks for Semi-Supervised Classification Renjie Liao Marc Brockschmidt Daniel Tarlow Alexander L. Gaunt R. Urtasun R. Zemel GNN 52 76 0 16 Mar 2018
Attention-based Graph Neural Network for Semi-supervised Learning K. K. Thekumparampil Chong-Jun Wang Sewoong Oh Li Li GNN 60 332 0 10 Mar 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 138 659 0 08 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 119 361 0 02 Mar 2018
Link Prediction Based on Graph Neural Networks Muhan Zhang Yixin Chen GNN 57 1,912 0 27 Feb 2018
N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification Sami Abu-El-Haija Amol Kapoor Bryan Perozzi Joonseok Lee GNN SSL 63 259 0 24 Feb 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 98 840 0 24 Feb 2018
Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting Zhiyong Cui Kristian C. Henrickson Ruimin Ke Ziyuan Pu Yinhai Wang GNN AI4TS 93 745 0 20 Feb 2018
Edge Attention-based Multi-Relational Graph Convolutional Networks Chao Shang Qinqing Liu Ko-Shin Chen Jiangwen Sun Jin Lu Jinfeng Yi J. Bi GNN 140 93 0 14 Feb 2018
Adversarially Regularized Graph Autoencoder for Graph Embedding Shirui Pan Ruiqi Hu Guodong Long Jing Jiang Lina Yao Chengqi Zhang GNN GAN 46 444 0 13 Feb 2018
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search Yelong Shen Jianshu Chen Po-Sen Huang Yuqing Guo Jianfeng Gao 47 127 0 12 Feb 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation Wengong Jin Regina Barzilay Tommi Jaakkola 298 1,358 0 12 Feb 2018
Learning a SAT Solver from Single-Bit Supervision Daniel Selsam Matthew Lamm Benedikt Bünz Percy Liang L. D. Moura D. Dill NAI 83 420 0 11 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 92 842 0 09 Feb 2018
GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu Chaochao Chen Longfei Li Jun Zhou Xiaolong Li Le Song Yuan Qi GNN 83 309 0 03 Feb 2018
Modeling polypharmacy side effects with graph convolutional networks Marinka Zitnik Monica Agrawal J. Leskovec GNN 104 1,068 0 02 Feb 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling Jie Chen Tengfei Ma Cao Xiao GNN 123 1,514 0 30 Jan 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 225 6,102 0 24 Jan 2018