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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
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng Zichen Miao Qiang Qiu GNN 43 0 0 04 Aug 2020
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs Dominik Alfke Martin Stoll GNN 50 5 0 03 Aug 2020
Neural Architecture Search in Graph Neural Networks Matheus Nunes G. Pappa GNN AI4CE 62 29 0 31 Jul 2020
Embedding Ranking-Oriented Recommender System Graphs Taher Hekmatfar Saman Haratizadeh S. Goliaei 37 7 0 31 Jul 2020
Graph signal processing for machine learning: A review and new perspectives Xiaowen Dong D. Thanou Laura Toni M. Bronstein P. Frossard 96 170 0 31 Jul 2020
G-CREWE: Graph CompREssion With Embedding for Network Alignment K. K. Qin Flora D. Salim Yongli Ren Wei Shao Mark Heimann Danai Koutra GNN 46 28 0 30 Jul 2020
Boosting Ant Colony Optimization via Solution Prediction and Machine Learning Yuan Sun Sheng Wang Yunzhuang Shen Xiaodong Li Andreas T. Ernst M. Kirley 66 28 0 29 Jul 2020
Supervised learning on heterogeneous, attributed entities interacting over time A. Laghaout 28 0 0 22 Jul 2020
MathNet: Haar-Like Wavelet Multiresolution-Analysis for Graph Representation and Learning Xuebin Zheng Bingxin Zhou Ming Li Yu Guang Wang Junbin Gao 81 2 0 22 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 76 82 0 20 Jul 2020
PanRep: Graph neural networks for extracting universal node embeddings in heterogeneous graphs V. Ioannidis Da Zheng George Karypis SSL 32 4 0 20 Jul 2020
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description S. Bandyopadhyay Saley Vishal Vivek M. Murty 58 7 0 20 Jul 2020
Recent Advances in Network-based Methods for Disease Gene Prediction S. Ata Min-man Wu Yuan Fang Le Ou-Yang C. Kwoh Xiaoli Li 145 60 0 19 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 56 3 0 19 Jul 2020
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction Xiajun Jiang S. Ghimire Jwala Dhamala Zhiyuan Li P. Gyawali Linwei Wang AI4CE 40 8 0 18 Jul 2020
TUDataset: A collection of benchmark datasets for learning with graphs Christopher Morris Nils M. Kriege Franka Bause Kristian Kersting Petra Mutzel Marion Neumann 341 836 0 16 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 128 2 0 16 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 89 161 0 16 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 84 44 0 16 Jul 2020
Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim 103 69 0 16 Jul 2020
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis Yifei Shen Yuanming Shi Jun Zhang Khaled B. Letaief GNN 63 267 0 15 Jul 2020
Deep Learning for Abstract Argumentation Semantics Dennis Craandijk Floris Bex SSeg 90 31 0 15 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 74 11 0 14 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 159 150 0 13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 142 18 0 13 Jul 2020
Distributed Training of Graph Convolutional Networks Simone Scardapane Indro Spinelli P. Lorenzo GNN BDL 102 26 0 13 Jul 2020
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla M. Schäfer Matěj Lang Gloria Fackelmann Pere-Pau Vázquez Barbora Kozlíková M. Krone Tobias Ritschel Timo Ropinski 52 2 0 13 Jul 2020
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek F. Železný Ondrej Kuzelka 84 14 0 13 Jul 2020
Inverse Graph Identification: Can We Identify Node Labels Given Graph Labels? Tian Bian Xi Xiao Tingyang Xu Yu Rong Wenbing Huang P. Zhao Junzhou Huang 41 0 0 12 Jul 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 79 41 0 10 Jul 2020
Multi-Agent Routing Value Iteration Network Quinlan Sykora Mengye Ren R. Urtasun 143 41 0 09 Jul 2020
A Generative Graph Method to Solve the Travelling Salesman Problem Amal Nammouchi Hakim Ghazzai Y. Massoud 20 3 0 09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 111 93 0 09 Jul 2020
Multilevel Graph Matching Networks for Deep Graph Similarity Learning Xiang Ling Lingfei Wu Sai-gang Wang Tengfei Ma Fangli Xu A. Liu Chunming Wu S. Ji 97 67 0 08 Jul 2020
Dynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers Shijie Geng Peng Gao Moitreya Chatterjee Chiori Hori Jonathan Le Roux Yongfeng Zhang Hongsheng Li A. Cherian 101 11 0 08 Jul 2020
Network Embedding with Completely-imbalanced Labels Zheng Wang Xiaojun Ye Chaokun Wang Jian Cui Philip S. Yu 61 55 0 07 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 39 3 0 07 Jul 2020
Graph Neural Networks with Continual Learning for Fake News Detection from Social Media Yi Han S. Karunasekera C. Leckie GNN 131 112 0 07 Jul 2020
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang Guohao Dai Yu Wang Huazhong Yang GNN 73 124 0 07 Jul 2020
Curriculum learning for multilevel budgeted combinatorial problems Adel Nabli Margarida Carvalho AI4CE 85 4 0 07 Jul 2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks Amol Kapoor X. Ben Luyang Liu Bryan Perozzi Matt Barnes Martin J. Blais S. O’Banion 78 196 0 06 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 109 1,231 0 06 Jul 2020
Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning Tianyu Shi Changyin Sun Yuankai Wu L. Miranda-Moreno Lijun Sun 52 12 0 06 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 108 78 0 06 Jul 2020
MetaConcept: Learn to Abstract via Concept Graph for Weakly-Supervised Few-Shot Learning Baoquan Zhang Ka-Cheong Leung Yunming Ye Xutao Li 95 1 0 05 Jul 2020
TilinGNN: Learning to Tile with Self-Supervised Graph Neural Network Hao Xu Ka-Hei Hui Chi-Wing Fu Hao Zhang SSL 121 4 0 05 Jul 2020
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks Xiao Wang Meiqi Zhu Deyu Bo Peng Cui C. Shi J. Pei BDL 158 497 0 05 Jul 2020
An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques Joris Mollinga H. V. Hoof 36 16 0 03 Jul 2020
Scaling Graph Neural Networks with Approximate PageRank Aleksandar Bojchevski Johannes Klicpera Bryan Perozzi Amol Kapoor Martin J. Blais Benedek Rozemberczki Michal Lukasik Stephan Günnemann GNN 188 377 0 03 Jul 2020
MPLP: Learning a Message Passing Learning Protocol E. Randazzo Eyvind Niklasson A. Mordvintsev 58 4 0 02 Jul 2020