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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
Preserve, Promote, or Attack? GNN Explanation via Topology Perturbation Yi Sun Abel N. Valente Sijia Liu Dakuo Wang AAML 71 7 0 25 Mar 2021
$Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes$ Structure-Aware Face Clustering on a Large-Scale Graph with $\bf{10^{7}}$ Nodes Shuai Shen Wanhua Li Zheng Zhu Guan Huang Dalong Du Jiwen Lu Jie Zhou CVBM GNN 93 39 0 24 Mar 2021
DIG: A Turnkey Library for Diving into Graph Deep Learning Research Meng Liu Youzhi Luo Limei Wang Yaochen Xie Haonan Yuan ... Haoran Liu Cong Fu Bora Oztekin Xuan Zhang Shuiwang Ji GNN 95 121 0 23 Mar 2021
Dual Mesh Convolutional Networks for Human Shape Correspondence Nitika Verma A. Boukhayma Jakob Verbeek Edmond Boyer 3DH 32 5 0 23 Mar 2021
Health Status Prediction with Local-Global Heterogeneous Behavior Graph Xuan Ma Xiaoshan Yang Junyuan Gao Changsheng Xu 34 3 0 23 Mar 2021
Spatio-Temporal Sparsification for General Robust Graph Convolution Networks Mingming Lu Ya Zhang OOD AAML 44 0 0 23 Mar 2021
Tackling Racial Bias in Automated Online Hate Detection: Towards Fair and Accurate Classification of Hateful Online Users Using Geometric Deep Learning Zo Ahmed Bertie Vidgen Scott A. Hale 51 3 0 22 Mar 2021
Catastrophic Forgetting in Deep Graph Networks: an Introductory Benchmark for Graph Classification Antonio Carta Andrea Cossu Federico Errica D. Bacciu GNN 83 14 0 22 Mar 2021
Using Molecular Embeddings in QSAR Modeling: Does it Make a Difference? María Virginia Sabando I. Ponzoni E. Milios Axel J. Soto 46 27 0 20 Mar 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 135 1 0 19 Mar 2021
HeterSkinNet: A Heterogeneous Network for Skin Weights Prediction Xiaoyu Pan Jiancong Huang Jiaming Mai He Wang Honglin Li Tongkui Su Wenjun Wang Xiaogang Jin 3DH 66 5 0 19 Mar 2021
Code Completion by Modeling Flattened Abstract Syntax Trees as Graphs Yanlin Wang Hui Li 89 86 0 17 Mar 2021
Pose-GNN : Camera Pose Estimation System Using Graph Neural Networks Ahmed M. Elmoogy Xiaodai Dong Tao Lu Robert Westendorp K. Reddy 56 9 0 17 Mar 2021
Graph Convolutional Network for Swahili News Classification Alexandros Kastanos Tyler Martin GNN 74 3 0 16 Mar 2021
Understanding the Design-Space of Sparse/Dense Multiphase GNN dataflows on Spatial Accelerators Raveesh Garg Eric Qin Francisco Munoz-Martínez Robert Guirado Akshay Jain ... José L. Abellán M. Acacio Eduard Alarcón S. Rajamanickam T. Krishna GNN 26 19 0 14 Mar 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting Defu Cao Yujing Wang Juanyong Duan Ce Zhang Xia Zhu ... Yunhai Tong Bixiong Xu Jing Bai Jie Tong Qi Zhang AI4TS 76 526 0 13 Mar 2021
Adversarial Graph Disentanglement Shuai Zheng Zhenfeng Zhu Zhizhe Liu Shuiwang Ji Yao Zhao 83 10 0 12 Mar 2021
Should Graph Neural Networks Use Features, Edges, Or Both? Lukas Faber Yifan Lu Roger Wattenhofer GNN 62 10 0 11 Mar 2021
Sampling methods for efficient training of graph convolutional networks: A survey Xin Liu Yurui Lai Lei Deng Guoqi Li Xiaochun Ye Xiaochun Ye GNN 86 105 0 10 Mar 2021
Learning Connectivity for Data Distribution in Robot Teams Ekaterina V. Tolstaya Landon Butler Daniel Mox James Paulos Vijay Kumar Alejandro Ribeiro 144 10 0 08 Mar 2021
Size-Invariant Graph Representations for Graph Classification Extrapolations Beatrice Bevilacqua Yangze Zhou Bruno Ribeiro OOD 140 110 0 08 Mar 2021
Learning Graph Neural Networks with Positive and Unlabeled Nodes Man Wu Shirui Pan Lan Du Xingquan Zhu 100 35 0 08 Mar 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Xiwei Xu GNN 68 28 0 07 Mar 2021
Implementing graph neural networks with TensorFlow-Keras Patrick Reiser André Eberhard Pascal Friederich GNN 83 16 0 07 Mar 2021
NF-GNN: Network Flow Graph Neural Networks for Malware Detection and Classification Julian Busch Anton Kocheturov Volker Tresp Thomas Seidl 91 50 0 05 Mar 2021
Fast Interactive Video Object Segmentation with Graph Neural Networks Viktor Varga András Lőrincz VOS 64 11 0 05 Mar 2021
Data-Driven Short-Term Voltage Stability Assessment Based on Spatial-Temporal Graph Convolutional Network Yonghong Luo Chao Lu Lipeng Zhu Jie Song 64 58 0 05 Mar 2021
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra Maciej Besta Zur Vonarburg-Shmaria Yannick Schaffner Leonardo Schwarz Grzegorz Kwa'sniewski ... Philipp Lindenberger Pavel Kalvoda Marek Konieczny O. Mutlu Torsten Hoefler 89 26 0 05 Mar 2021
Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture S. Min Kun Wu Sitao Huang Mert Hidayetouglu Jinjun Xiong Eiman Ebrahimi Deming Chen Wen-mei W. Hwu GNN 102 69 0 04 Mar 2021
Universal Representation for Code Linfeng Liu H. Nguyen George Karypis Srinivasan H. Sengamedu SSL 46 3 0 04 Mar 2021
Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework Cheng Yang Jiawei Liu C. Shi 84 128 0 04 Mar 2021
Graph Computing for Financial Crime and Fraud Detection: Trends, Challenges and Outlook Eren Kurshan Hongda Shen GNN 66 33 0 02 Mar 2021
The KL-Divergence between a Graph Model and its Fair I-Projection as a Fairness Regularizer Maarten Buyl T. D. Bie 71 25 0 02 Mar 2021
Graph Information Vanishing Phenomenon inImplicit Graph Neural Networks Haifeng Li Jun Cao Jiawei Zhu Qing Zhu Guohua Wu GNN 43 2 0 02 Mar 2021
Graph-Time Convolutional Neural Networks Elvin Isufi Gabriele Mazzola GNN AI4TS 55 15 0 02 Mar 2021
Multi-Level Attention Pooling for Graph Neural Networks: Unifying Graph Representations with Multiple Localities Takeshi D. Itoh Takatomi Kubo K. Ikeda 82 30 0 02 Mar 2021
A Biased Graph Neural Network Sampler with Near-Optimal Regret Qingru Zhang David Wipf Quan Gan Le Song 148 24 0 01 Mar 2021
Self-supervised Auxiliary Learning for Graph Neural Networks via Meta-Learning Dasol Hwang Jinyoung Park Sunyoung Kwon KyungHyun Kim Jung-Woo Ha Hyunwoo J. Kim OOD SSL 85 8 0 01 Mar 2021
Automated Machine Learning on Graphs: A Survey Ziwei Zhang Xin Eric Wang Wenwu Zhu 111 87 0 01 Mar 2021
Deep Colormap Extraction from Visualizations Linping Yuan Wei Zeng Siwei Fu Zhiliang Zeng Haotian Li Chi-Wing Fu Huamin Qu 73 20 0 01 Mar 2021
Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets Haoran You Zhihan Lu Zijian Zhou Y. Fu Yingyan Lin GNN 119 33 0 01 Mar 2021
RA-GCN: Graph Convolutional Network for Disease Prediction Problems with Imbalanced Data Mahsa Ghorbani Anees Kazi M. Baghshah Hamid R. Rabiee Nassir Navab 155 74 0 27 Feb 2021
Meta-Learning with Graph Neural Networks: Methods and Applications Debmalya Mandal Sourav Medya Brian Uzzi Charu C. Aggarwal AI4CE 108 22 0 27 Feb 2021
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning Yixin Liu Zhao Li Shirui Pan Chen Gong Chuan Zhou George Karypis 141 310 0 27 Feb 2021
Graph Self-Supervised Learning: A Survey Yixin Liu Ming Jin Shirui Pan Chuan Zhou Yu Zheng Xiwei Xu Philip S. Yu SSL 137 575 0 27 Feb 2021
Iterative SE(3)-Transformers F. Fuchs E. Wagstaff Justas Dauparas Ingmar Posner 78 17 0 26 Feb 2021
Graph-based Semi-supervised Learning: A Comprehensive Review Zixing Song Xiangli Yang Zenglin Xu Irwin King 156 210 0 26 Feb 2021
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning Zhiqian Zhou Pengming Zhu Zhiwen Zeng Junhao Xiao Huimin Lu Zongtan Zhou 117 48 0 26 Feb 2021
Towards a Unified Framework for Fair and Stable Graph Representation Learning Chirag Agarwal Himabindu Lakkaraju Marinka Zitnik 183 163 0 25 Feb 2021
Benchmarking and Survey of Explanation Methods for Black Box Models F. Bodria F. Giannotti Riccardo Guidotti Francesca Naretto D. Pedreschi S. Rinzivillo XAI 132 234 0 25 Feb 2021