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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
Path Integral Based Convolution and Pooling for Graph Neural Networks Zheng Ma Junyu Xuan Yu Guang Wang Ming Li Pietro Lio GNN 94 56 0 29 Jun 2020
Matrix Shuffle-Exchange Networks for Hard 2D Tasks Emīls Ozoliņš Kārlis Freivalds A. Sostaks 34 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 21 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 63 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 216 67 0 24 Jun 2020
A Note on Over-Smoothing for Graph Neural Networks Chen Cai Yusu Wang 92 279 0 23 Jun 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 87 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 49 16 0 23 Jun 2020
Graph Neural Networks for Node-Level Predictions Christoph Heindl GNN AI4CE 36 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 88 45 0 21 Jun 2020
Zero-Shot Learning with Common Sense Knowledge Graphs Nihal V. Nayak Stephen H. Bach VLM 123 37 0 18 Jun 2020
Subgraph Neural Networks Emily Alsentzer S. G. Finlayson Michelle M. Li Marinka Zitnik GNN 150 139 0 18 Jun 2020
Class-Attentive Diffusion Network for Semi-Supervised Classification Jongin Lim Daeho Um H. Chang D. Jo J. Choi 257 15 0 18 Jun 2020
Self-supervised Learning on Graphs: Deep Insights and New Direction Wei Jin Hanyu Wang Haochen Liu Yiqi Wang Suhang Wang Zitao Liu Jiliang Tang SSL 84 178 0 17 Jun 2020
Categorical Normalizing Flows via Continuous Transformations Phillip Lippe E. Gavves BDL 159 44 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 253 396 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 117 9 0 16 Jun 2020
Network Diffusions via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 70 6 0 16 Jun 2020
Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering Zihao Zhu Jiahao Yu Yujing Wang Yajing Sun Yue Hu Qi Wu 120 129 0 16 Jun 2020
NodeNet: A Graph Regularised Neural Network for Node Classification Shrey Dabhi Manojkumar Somabhai Parmar GNN 53 11 0 16 Jun 2020
Learning continuous-time PDEs from sparse data with graph neural networks V. Iakovlev Markus Heinonen Harri Lähdesmäki AI4CE 97 70 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 Yongqian Li Shu Zhang Jinglei Lv 64 118 0 16 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 117 299 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 55 18 0 13 Jun 2020
Gaussian Processes on Graphs via Spectral Kernel Learning Yin-Cong Zhi Yin Cheng Ng Xiaowen Dong 74 32 0 12 Jun 2020
Towards Deeper Graph Neural Networks with Differentiable Group Normalization Kaixiong Zhou Xiao Huang Yuening Li Daochen Zha Rui Chen Helen Zhou 151 205 0 12 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 173 419 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 61 13 0 11 Jun 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies Yu Huang Yue Chen 3DPC 170 85 0 10 Jun 2020
Bandit Samplers for Training Graph Neural Networks Ziqi Liu Zhengwei Wu Qing Cui Jun Zhou Shuang Yang Le Song Yuan Qi 123 48 0 10 Jun 2020
Interferometric Graph Transform: a Deep Unsupervised Graph Representation Edouard Oyallon 110 6 0 10 Jun 2020
Contrastive Multi-View Representation Learning on Graphs Kaveh Hassani Amir Hosein Khas Ahmadi SSL 282 1,313 0 10 Jun 2020
GEOM: Energy-annotated molecular conformations for property prediction and molecular generation Simon Axelrod Rafael Gómez-Bombarelli 3DV AI4CE 136 222 0 09 Jun 2020
An Overview of Deep Semi-Supervised Learning Yassine Ouali C´eline Hudelot Myriam Tami SSL HAI 141 303 0 09 Jun 2020
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 236 697 0 09 Jun 2020
Towards More Practical Adversarial Attacks on Graph Neural Networks Jiaqi Ma Shuangrui Ding Qiaozhu Mei AAML 77 122 0 09 Jun 2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization S. Bandyopadhyay Manasvi Aggarwal M. Murty SSL 30 6 0 08 Jun 2020
Understanding Graph Neural Networks from Graph Signal Denoising Perspectives Guoji Fu Buse Giledereli Jian Zhang Kaili Ma Barakeel Fanseu Kamhoua James Cheng 63 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 86 33 0 08 Jun 2020
Investigating Estimated Kolmogorov Complexity as a Means of Regularization for Link Prediction Paris D. L. Flood Ramón Viñas Pietro Lio 36 0 0 07 Jun 2020
Unsupervised Differentiable Multi-aspect Network Embedding Chanyoung Park Carl Yang Qi Zhu Donghyun Kim Hwanjo Yu Jiawei Han 23 31 0 07 Jun 2020
DiffGCN: Graph Convolutional Networks via Differential Operators and Algebraic Multigrid Pooling Moshe Eliasof Eran Treister 72 25 0 07 Jun 2020
The Impact of Global Structural Information in Graph Neural Networks Applications Davide Buffelli Fabio Vandin AI4CE 70 9 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 137 224 0 05 Jun 2020
Stochastic Graph Neural Networks Zhan Gao Elvin Isufi Alejandro Ribeiro 43 1 0 04 Jun 2020
SimPool: Towards Topology Based Graph Pooling with Structural Similarity Features Yaniv Shulman 52 0 0 03 Jun 2020
Convergence and Stability of Graph Convolutional Networks on Large Random Graphs Nicolas Keriven A. Bietti Samuel Vaiter GNN 84 87 0 02 Jun 2020
CNNs on Surfaces using Rotation-Equivariant Features R. Wiersma E. Eisemann Klaus Hildebrandt 127 69 0 02 Jun 2020
Graph Learning with Loss-Guided Training Eliav Buchnik E. Cohen 50 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 56 107 0 29 May 2020