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
Recent Advances in Network-based Methods for Disease Gene Prediction S. Ata Min-man Wu Yuan Fang Le Ou-Yang C. Kwoh Xiaoli Li 8 57 0 19 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 6 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 18 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 32 774 0 16 Jul 2020
Dynamic Relational Inference in Multi-Agent Trajectories Ruichao Xiao Manish Kumar Singh Rose Yu 20 2 0 16 Jul 2020
Deep Learning in Protein Structural Modeling and Design Wenhao Gao S. Mahajan Jeremias Sulam Jeffrey J. Gray 21 159 0 16 Jul 2020
Natural Graph Networks P. D. Haan Taco S. Cohen Max Welling GNN 13 43 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 18 67 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 6 259 0 15 Jul 2020
Deep Learning for Abstract Argumentation Semantics Dennis Craandijk Floris Bex SSeg 13 30 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 14 11 0 14 Jul 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 26 145 0 13 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 28 17 0 13 Jul 2020
Distributed Training of Graph Convolutional Networks Simone Scardapane Indro Spinelli P. Lorenzo GNN BDL 43 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 16 2 0 13 Jul 2020
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek F. Železný Ondrej Kuzelka 19 12 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 11 0 0 12 Jul 2020
Learning to plan with uncertain topological maps E. Beeching J. Dibangoye Olivier Simonin Christian Wolf 13 40 0 10 Jul 2020
Multi-Agent Routing Value Iteration Network Quinlan Sykora Mengye Ren R. Urtasun 20 38 0 09 Jul 2020
A Generative Graph Method to Solve the Travelling Salesman Problem Amal Nammouchi Hakim Ghazzai Y. Massoud 6 3 0 09 Jul 2020
Graph Convolutional Networks for Graphs Containing Missing Features Hibiki Taguchi Xin Liu T. Murata GNN 17 84 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 12 56 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 19 11 0 08 Jul 2020
Network Embedding with Completely-imbalanced Labels Zheng Wang Xiaojun Ye Chaokun Wang Jian Cui Philip S. Yu 17 54 0 07 Jul 2020
Hierarchical and Unsupervised Graph Representation Learning with Loukas's Coarsening Louis Bethune Yacouba Kaloga Pierre Borgnat Aurélien Garivier Amaury Habrard 6 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 13 107 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 16 121 0 07 Jul 2020
Curriculum learning for multilevel budgeted combinatorial problems Adel Nabli Margarida Carvalho AI4CE 9 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 17 191 0 06 Jul 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 9 1,147 0 06 Jul 2020
Efficient Connected and Automated Driving System with Multi-agent Graph Reinforcement Learning Tianyu Shi Jiawei Wang Yuankai Wu L. Miranda-Moreno Lijun Sun 6 12 0 06 Jul 2020
Meta-Learning through Hebbian Plasticity in Random Networks Elias Najarro S. Risi 12 76 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 10 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 24 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 4 479 0 05 Jul 2020
An Autonomous Free Airspace En-route Controller using Deep Reinforcement Learning Techniques Joris Mollinga H. V. Hoof 9 15 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 21 366 0 03 Jul 2020
MPLP: Learning a Message Passing Learning Protocol E. Randazzo Eyvind Niklasson A. Mordvintsev 6 4 0 02 Jul 2020
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lió GNN 17 54 0 29 Jun 2020
Matrix Shuffle-Exchange Networks for Hard 2D Tasks Emīls Ozoliņš Kārlis Freivalds A. Sostaks 11 0 0 29 Jun 2020
Structural Landmarking and Interaction Modelling: on Resolution Dilemmas in Graph Classification Kai Zhang Yaokang Zhu Jun Wang Jie Zhang H. Zha 6 0 0 29 Jun 2020
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang Huaxiu Yao Yiwei Sun Yiqi Wang Jiliang Tang Charu C. Aggarwal P. Mitra Suhang Wang 18 2 0 28 Jun 2020
Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu Zheng Xiong Meng Qu Xingdi Yuan Marc-Alexandre Côté Zhiyuan Liu Jian Tang GNN 14 65 0 24 Jun 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 15 263 0 23 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 8 6 0 23 Jun 2020
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks Arijit Sehanobish N. Ravindra David van Dijk SSL 12 16 0 23 Jun 2020
Graph Neural Networks for Node-Level Predictions Christoph Heindl GNN AI4CE 12 1 0 22 Jun 2020
Finding Patient Zero: Learning Contagion Source with Graph Neural Networks Chintan Shah Nima Dehmamy N. Perra Matteo Chinazzi A. Barabási Alessandro Vespignani Rose Yu 4 39 0 21 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 18 36 0 18 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 18 133 0 18 Jun 2020