A Comprehensive Survey on Graph Neural Networks

3 January 2019

Philip S. Yu

Papers citing "A Comprehensive Survey on Graph Neural Networks"

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Title
Understanding Graph Isomorphism Network for rs-fMRI Functional Connectivity Analysis Byung-Hoon Kim J. C. Ye AI4CE GNN 6 131 0 10 Jan 2020
Geometric deep learning for computational mechanics Part I: Anisotropic Hyperelasticity Nikolaos N. Vlassis R. Ma WaiChing Sun AI4CE 11 170 0 08 Jan 2020
Visual-Semantic Graph Attention Networks for Human-Object Interaction Detection Zhijun Liang Juan Rojas Junfa Liu Y. Guan 11 5 0 07 Jan 2020
HyGCN: A GCN Accelerator with Hybrid Architecture Mingyu Yan Lei Deng Xing Hu Ling Liang Yujing Feng Xiaochun Ye Zhimin Zhang Dongrui Fan Yuan Xie GNN 22 251 0 07 Jan 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications Ljubisa Stankovic Danilo P. Mandic M. Daković M. Brajović Bruno Scalzo Shengxi Li A. Constantinides 19 23 0 02 Jan 2020
Histogram Layers for Texture Analysis Joshua Peeples Weihuang Xu A. Zare 6 39 0 01 Jan 2020
A Gentle Introduction to Deep Learning for Graphs D. Bacciu Federico Errica A. Micheli Marco Podda AI4CE GNN 18 249 0 29 Dec 2019
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks Songtao He F. Bastani Satvat Jagwani Edward Park Sofiane Abbar Mohammad Alizadeh H. Balakrishnan S. Chawla Samuel Madden M. Sadeghi 16 29 0 28 Dec 2019
Multi-Label Graph Convolutional Network Representation Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu 18 23 0 26 Dec 2019
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning Min Shi Yufei Tang Xingquan Zhu Jianxun Liu GNN 24 11 0 26 Dec 2019
Deep Graph Similarity Learning: A Survey Guixiang Ma Nesreen Ahmed Theodore L. Willke Philip S. Yu GNN 6 63 0 25 Dec 2019
Focusing and Diffusion: Bidirectional Attentive Graph Convolutional Networks for Skeleton-based Action Recognition Jialin Gao Tong He Xiaoping Zhou Shiming Ge 19 18 0 24 Dec 2019
Multi-Graph Transformer for Free-Hand Sketch Recognition Peng-Tao Xu Chaitanya K. Joshi Xavier Bresson ViT 9 71 0 24 Dec 2019
A literature survey of matrix methods for data science Martin Stoll 14 20 0 17 Dec 2019
SGVAE: Sequential Graph Variational Autoencoder Bowen Jing Ethan A. Chi Jillian Tang BDL 10 1 0 17 Dec 2019
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds Albert Pumarola S. Popov Francesc Moreno-Noguer V. Ferrari 3DPC AI4CE 12 79 0 15 Dec 2019
Learning Improvement Heuristics for Solving Routing Problems Yaoxin Wu Wen Song Zhiguang Cao Jie M. Zhang Andrew Lim 26 274 0 12 Dec 2019
A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction David Friede Jovita Lukasik Heiner Stuckenschmidt M. Keuper GNN BDL DRL 6 8 0 11 Dec 2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks S. Bandyopadhyay Anirban Biswas Narasimha M. Murty Ramasuri Narayanam GNN 13 16 0 11 Dec 2019
AI2D-RST: A multimodal corpus of 1000 primary school science diagrams Tuomo Hiippala Malihe Alikhani Jonas Haverinen Timo Kalliokoski E. Logacheva Serafina Orekhova Aino Tuomainen Matthew Stone J. Bateman 10 28 0 09 Dec 2019
Spatio-Temporal Pyramid Graph Convolutions for Human Action Recognition and Postural Assessment Behnoosh Parsa Athma Narayanan Behzad Dariush 3DH 13 19 0 07 Dec 2019
Classifying Diagrams and Their Parts using Graph Neural Networks: A Comparison of Crowd-Sourced and Expert Annotations Tuomo Hiippala 11 1 0 05 Dec 2019
CLOTH3D: Clothed 3D Humans Hugo Bertiche Argila Meysam Madadi Sergio Escalera 3DH 8 133 0 05 Dec 2019
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting Weiqiu Chen Ling Chen Yu Xie Wei Cao Yusong Gao Xiaojie Feng AI4TS 14 290 0 27 Nov 2019
SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations Chen Wang Chengyuan Deng Vladimir A. Ivanov GNN DRL 14 6 0 27 Nov 2019
Recursive Prediction of Graph Signals with Incoming Nodes Arun Venkitaraman S. Chatterjee B. Wahlberg 12 7 0 26 Nov 2019
Independence Promoted Graph Disentangled Networks Yanbei Liu Xiao Wang Shu Wu Zhitao Xiao 11 93 0 26 Nov 2019
Graph Pruning for Model Compression Mingyang Zhang Xinyi Yu Jingtao Rong L. Ou GNN 17 9 0 22 Nov 2019
Discrete and Continuous Deep Residual Learning Over Graphs Pedro H. C. Avelar Anderson R. Tavares Marco Gori Luís C. Lamb GNN 17 19 0 21 Nov 2019
Exponential Family Graph Embeddings Abdulkadir Çelikkanat Fragkiskos D. Malliaros 17 13 0 20 Nov 2019
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-wise Transformations Xiang Gao Wei Hu Guo-Jun Qi 3DPC 15 41 0 19 Nov 2019
GLMNet: Graph Learning-Matching Networks for Feature Matching Bo Jiang Pengfei Sun Jin Tang B. Luo 10 32 0 18 Nov 2019
Graph-Revised Convolutional Network Donghan Yu Ruohong Zhang Zhengbao Jiang Yuexin Wu Yiming Yang GNN 11 81 0 17 Nov 2019
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 16 173 0 14 Nov 2019
On the choice of graph neural network architectures Clément Vignac Guillermo Ortiz-Jiménez P. Frossard GNN 14 9 0 13 Nov 2019
A Hierarchy of Graph Neural Networks Based on Learnable Local Features M. Li Meng Dong Jiawei Zhou Alexander M. Rush AI4CE GNN 20 7 0 13 Nov 2019
Constant Curvature Graph Convolutional Networks Gregor Bachmann Gary Bécigneul O. Ganea GNN 6 111 0 12 Nov 2019
GMAN: A Graph Multi-Attention Network for Traffic Prediction Chuanpan Zheng Xiaoliang Fan Cheng-Yu Wang Jianzhong Qi AI4TS AI4CE 23 1,325 0 11 Nov 2019
Learning to Fix Build Errors with Graph2Diff Neural Networks Daniel Tarlow Subhodeep Moitra Andrew Rice Zimin Chen Pierre-Antoine Manzagol Charles Sutton E. Aftandilian GNN 16 62 0 04 Nov 2019
A Spectral Nonlocal Block for Neural Networks Lei Zhu Qi She Lidan Zhang Ping Guo 8 2 0 04 Nov 2019
Understanding Isomorphism Bias in Graph Data Sets Sergei Ivanov Sergei Sviridov E. Burnaev FaML AI4CE 17 37 0 26 Oct 2019
Improving Graph Attention Networks with Large Margin-based Constraints Guangtao Wang Rex Ying Jing-ling Huang J. Leskovec 12 71 0 25 Oct 2019
Deep Learning for Molecular Graphs with Tiered Graph Autoencoders and Graph Prediction Daniel T. Chang AI4CE GNN 4 3 0 24 Oct 2019
Machine Learning for Scent: Learning Generalizable Perceptual Representations of Small Molecules Benjamín Sánchez-Lengeling Jennifer N. Wei Brian K. Lee R. C. Gerkin Alán Aspuru-Guzik Alexander B. Wiltschko GNN 12 90 0 23 Oct 2019
Feature Selection and Extraction for Graph Neural Networks D. Acharya Huaming Zhang 8 28 0 23 Oct 2019
A Logic-Based Framework Leveraging Neural Networks for Studying the Evolution of Neurological Disorders Francesco Calimeri Francesco Cauteruccio Luca Cinelli A. Marzullo C. Stamile G. Terracina F. Durand-Dubief D. Sappey-Marinier 13 19 0 21 Oct 2019
Relational Graph Representation Learning for Open-Domain Question Answering Sal Vivona Kaveh Hassani GNN NAI 9 10 0 18 Oct 2019
Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convolutional network Jintao Ke Xiaoran Qin Hai Yang Zhengfei Zheng Zheng Zhu Jieping Ye AI4TS 16 151 0 17 Oct 2019
Heterogeneous Graph Matching Networks Shen Wang Zhengzhang Chen Xiao Yu Ding Li Jingchao Ni L. Tang Jiaping Gui Zhichun Li Haifeng Chen Philip S. Yu 7 8 0 17 Oct 2019
Dynamic Graph Convolutional Networks Using the Tensor M-Product Osman Asif Malik Shashanka Ubaru L. Horesh M. Kilmer H. Avron 16 3 0 16 Oct 2019