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
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 14 14 0 18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Tyler Derr Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 14 170 0 17 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 13 43 0 17 Jun 2020
Multipole Graph Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 8 371 0 16 Jun 2020
Connectivity-informed Drainage Network Generation using Deep Convolution Generative Adversarial Networks Sung Eun Kim Y. Seo J. Hwang H. Yoon Jonghyun Lee AI4CE 19 8 0 16 Jun 2020
Network Diffusions via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 19 6 0 16 Jun 2020
When Does Self-Supervision Help Graph Convolutional Networks? Yuning You Tianlong Chen Zhangyang Wang Yang Shen SSL GNN OOD 4 199 0 16 Jun 2020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering Zihao Zhu J. Yu Yujing Wang Yajing Sun Yue Hu Qi Wu 9 124 0 16 Jun 2020
NodeNet: A Graph Regularised Neural Network for Node Classification Shrey Dabhi Manojkumar Somabhai Parmar GNN 14 11 0 16 Jun 2020
Learning continuous-time PDEs from sparse data with graph neural networks V. Iakovlev Markus Heinonen Harri Lähdesmäki AI4CE 11 67 0 16 Jun 2020
GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-resolved EEG Motor Imagery Signals Yimin Hou Shuyue Jia Xiangmin Lun Hanrui Yang Yan Shi Y. Li Shu Zhang Jinglei Lv 10 114 0 16 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 11 286 0 15 Jun 2020
HGKT: Introducing Hierarchical Exercise Graph for Knowledge Tracing Hanshuang Tong Zhen Wang Yun Zhou Shiwei Tong Wenyuan Han Qi Liu AI4Ed 9 16 0 13 Jun 2020
Gaussian Processes on Graphs via Spectral Kernel Learning Yin-Cong Zhi Yin Cheng Ng Xiaowen Dong 8 30 0 12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Xia Hu 17 198 0 12 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng-Long Jiang Neil Shah GNN 14 404 0 11 Jun 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 11 13 0 11 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 29 81 0 10 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Zhiqiang Zhang Jun Zhou Shuang Yang Le Song Yuan Qi 23 47 0 10 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 21 6 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 11 1,266 0 10 Jun 2020
Locally Private Graph Neural Networks Sina Sajadmanesh D. Gática-Pérez 6 118 0 09 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation Simon Axelrod Rafael Gómez-Bombarelli 3DV AI4CE 18 203 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 11 292 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 8 658 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 8 119 0 09 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 9 6 0 08 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Yifan Hou Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 9 18 0 08 Jun 2020
Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs Ziwei Zhang Peng Cui J. Pei Xin Eric Wang Wenwu Zhu GNN 19 29 0 08 Jun 2020
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction Paris D. L. Flood Ramón Viñas Pietro Lió 9 0 0 07 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding Chanyoung Park Carl Yang Qi Zhu Donghyun Kim Hwanjo Yu Jiawei Han 6 29 0 07 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 6 25 0 07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 19 8 0 06 Jun 2020
Higher-Order Explanations of Graph Neural Networks via Relevant Walks Thomas Schnake Oliver Eberle Jonas Lederer Shinichi Nakajima Kristof T. Schütt Klaus-Robert Muller G. Montavon 8 212 0 05 Jun 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 6 1 0 04 Jun 2020
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features Yaniv Shulman 6 0 0 03 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter GNN 19 85 0 02 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 13 69 0 02 Jun 2020
Graph Learning with Loss-Guided Training Eliav Buchnik E. Cohen 11 1 0 31 May 2020
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity Joana Lorenz Maria Inês Silva David Oliveira Aparício João Tiago Ascensão P. Bizarro 6 100 0 29 May 2020
Non-Local Graph Neural Networks Meng Liu Zhengyang Wang Shuiwang Ji 11 161 0 29 May 2020
Deep graph learning for semi-supervised classification Guangfeng Lin Xiao-bing Kang Kaiyang Liao Fan Zhao Yajun Chen GNN 9 32 0 29 May 2020
Graph Neural Network for Hamiltonian-Based Material Property Prediction Hexin Bai Peng Chu Jeng-Yuan Tsai Nathan Wilson X. Qian Q. Yan Haibin Ling 13 3 0 27 May 2020
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction Matías Mendieta Hamed Tabkhi 14 17 0 26 May 2020
Deep Learning for Insider Threat Detection: Review, Challenges and Opportunities Shuhan Yuan Xintao Wu AAML 8 155 0 25 May 2020
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen Jun Zhou Longfei Zheng Huiwen Wu Lingjuan Lyu Jia Wu Bingzhe Wu Ziqi Liu L. xilinx Wang Xiaolin Zheng FedML 16 96 0 25 May 2020
How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey Jiexia Ye Juanjuan Zhao Kejiang Ye Chengzhong Xu GNN AI4TS AI4CE 11 190 0 24 May 2020
Speaker diarization with session-level speaker embedding refinement using graph neural networks Jixuan Wang Xiong Xiao Jian Wu Ranjani Ramamurthy Frank Rudzicz M. Brudno 15 25 0 22 May 2020
Learning Combinatorial Optimization on Graphs: A Survey with Applications to Networking N. Vesselinova Rebecca Steinert Daniel F. Perez-Ramirez Magnus Boman GNN AI4CE 12 141 0 22 May 2020
Graph Structure Learning for Robust Graph Neural Networks Wei Jin Yao Ma Xiaorui Liu Xianfeng Tang Suhang Wang Jiliang Tang OOD AAML 9 686 0 20 May 2020