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Representation Learning on Graphs with Jumping Knowledge Networks

9 June 2018

Ken-ichi Kawarabayashi

Stefanie Jegelka

GNN

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Papers citing "Representation Learning on Graphs with Jumping Knowledge Networks"

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Title
Urban Traffic Flow Forecast Based on FastGCRNN Ya Zhang Mingming Lu Haifeng Li GNN AI4TS 74 20 0 17 Sep 2020
Layer-stacked Attention for Heterogeneous Network Embedding Nhat Chau Tran Jean X. Gao 38 1 0 17 Sep 2020
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework Aravind Sankar Junting Wang A. Krishnan Hari Sundaram 80 22 0 11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 94 50 0 08 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 94 5 0 08 Sep 2020
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification Yunsheng Shi Zhengjie Huang Shikun Feng Hui Zhong Wenjin Wang Yu Sun AI4CE 116 802 0 08 Sep 2020
GraphNorm: A Principled Approach to Accelerating Graph Neural Network Training Tianle Cai Shengjie Luo Keyulu Xu Di He Tie-Yan Liu Liwei Wang GNN 104 167 0 07 Sep 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction Yongxiang Huang Albert C. S. Chung MedIm 73 64 0 06 Sep 2020
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing Ziwei Zhang Chenhao Niu Peng Cui Jian Pei Bo Zhang Wenwu Zhu 68 2 0 05 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 80 74 0 04 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao Sebastian Scherer CLL GNN AI4CE 97 51 0 01 Sep 2020
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function Binghui Wang Tianxiang Zhou Min Lin Pan Zhou Ang Li Meng Pang H. Li Yiran Chen AAML 123 20 0 01 Sep 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 73 53 0 26 Aug 2020
Learning Node Representations against Perturbations Xu Chen Yuangang Pan Ivor Tsang Ya Zhang 32 3 0 26 Aug 2020
A comparative study of similarity-based and GNN-based link prediction approaches K. Islam Sabeur Aridhi Malika Smaïl-Tabbone 42 10 0 20 Aug 2020
Quaternion Graph Neural Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung GNN 81 33 0 12 Aug 2020
Relation Extraction with Self-determined Graph Convolutional Network Sunil Kumar Sahu Derek Thomas Billy Chiu Neha Sengupta Mohammady Mahdy GNN 32 10 0 02 Aug 2020
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning Bingbing Xu Huawei Shen Qi Cao Keting Cen Xueqi Cheng 66 156 0 27 Jul 2020
Multi-view adaptive graph convolutions for graph classification Nikolas Adaloglou N. Vretos P. Daras 52 10 0 24 Jul 2020
Second-Order Pooling for Graph Neural Networks Zhengyang Wang Shuiwang Ji GNN 76 81 0 20 Jul 2020
Robust Hierarchical Graph Classification with Subgraph Attention S. Bandyopadhyay Manasvi Aggarwal M. Murty GNN 47 3 0 19 Jul 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 130 611 0 18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 124 3 0 17 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 272 830 0 16 Jul 2020
Attentive Graph Neural Networks for Few-Shot Learning Hao Cheng Qiufeng Wang Wee Peng Tay Bihan Wen 41 13 0 14 Jul 2020
Beyond Graph Neural Networks with Lifted Relational Neural Networks Gustav Sourek F. Železný Ondrej Kuzelka NAI 131 18 0 13 Jul 2020
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek F. Železný Ondrej Kuzelka 80 14 0 13 Jul 2020
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding Kang Liu Feng Xue Richang Hong GNN 35 9 0 07 Jul 2020
Simple and Deep Graph Convolutional Networks Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding Yaliang Li GNN 162 1,507 0 04 Jul 2020
Structure-Aware Human-Action Generation Ping Yu Yang Zhao Chunyuan Li Junsong Yuan Changyou Chen GNN 94 40 0 04 Jul 2020
SCE: Scalable Network Embedding from Sparsest Cut Shengzhong Zhang Zengfeng Huang Haicang Zhou Ziang Zhou SSL BDL 83 18 0 30 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
Building powerful and equivariant graph neural networks with structural message-passing Clément Vignac Andreas Loukas P. Frossard 98 123 0 26 Jun 2020
Hop Sampling: A Simple Regularized Graph Learning for Non-Stationary Environments Young-Jin Park Kyuyong Shin KyungHyun Kim 57 3 0 26 Jun 2020
Lifelong Learning of Graph Neural Networks for Open-World Node Classification Lukas Galke Benedikt Franke Tobias Zielke A. Scherp GNN AI4CE 90 38 0 25 Jun 2020
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case Shuai Zhang Meng Wang Sijia Liu Pin-Yu Chen Jinjun Xiong MLT AI4CE 120 34 0 25 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 42 16 0 23 Jun 2020
MultiImport: Inferring Node Importance in a Knowledge Graph from Multiple Input Signals Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 27 26 0 22 Jun 2020
Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Yu Chen Lingfei Wu Mohammed J Zaki 114 419 0 21 Jun 2020
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs Jiong Zhu Yujun Yan Lingxiao Zhao Mark Heimann Leman Akoglu Danai Koutra GNN 115 34 0 20 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 218 15 0 18 Jun 2020
Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting Giorgos Bouritsas Fabrizio Frasca Stefanos Zafeiriou M. Bronstein 136 439 0 16 Jun 2020
Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks Kenta Oono Taiji Suzuki AI4CE 122 32 0 15 Jun 2020
GNNGuard: Defending Graph Neural Networks against Adversarial Attacks Xiang Zhang Marinka Zitnik AAML 104 298 0 15 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 299 747 0 14 Jun 2020
DeeperGCN: All You Need to Train Deeper GCNs Guohao Li Chenxin Xiong Ali K. Thabet Guohao Li GNN 273 442 0 13 Jun 2020
Understanding and Resolving Performance Degradation in Graph Convolutional Networks Kuangqi Zhou Yanfei Dong Kaixin Wang W. Lee Bryan Hooi Huan Xu Jiashi Feng GNN BDL 133 93 0 12 Jun 2020
Data Augmentation for Graph Neural Networks Tong Zhao Yozen Liu Leonardo Neves Oliver J. Woodford Meng Jiang Neil Shah GNN 159 418 0 11 Jun 2020