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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Utilising Graph Machine Learning within Drug Discovery and Development Thomas Gaudelet Ben Day Arian R. Jamasb Jyothish Soman Cristian Regep ... Jian Tang D. Roblin Tom L. Blundell M. Bronstein J. Taylor-King AI4CE 19 36 0 09 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 80 0 0 08 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 20 20 0 07 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich R. Kannan Viktor Prasanna Long Jin Ren Chen GNN 6 24 0 02 Dec 2020
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding Xuhong Wang Ding Lyu Mengjian Li Yang Xia Qi Yang ... Xinguang Wang Ping Cui Yupu Yang Bowen Sun Zhenyu Guo GNN 18 136 0 23 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 14 4 0 22 Nov 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Tyler Derr Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 20 247 0 19 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 17 315 0 17 Nov 2020
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation Eda Bayram Alberto García-Durán Robert West 26 13 0 10 Nov 2020
On Self-Distilling Graph Neural Network Y. Chen Yatao Bian Xi Xiao Yu Rong Tingyang Xu Junzhou Huang FedML 14 48 0 04 Nov 2020
Scalable Graph Neural Networks via Bidirectional Propagation Ming Chen Zhewei Wei Bolin Ding Yaliang Li Ye Yuan Xiaoyong Du Ji-Rong Wen GNN 16 142 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 16 44 0 28 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 19 36 0 26 Oct 2020
Towards Scale-Invariant Graph-related Problem Solving by Iterative Homogeneous Graph Neural Networks Hao Tang Zhiao Huang Jiayuan Gu Bao-Liang Lu Hao Su AI4CE 17 9 0 26 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong Jiawei Chen Fuli Feng Xiangnan He Shuxian Bi Zhaolin Ding Peng Cui BDL 25 102 0 23 Oct 2020
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng Weiran Huang Xiangnan He Xin Xin Qifan Wang Tat-Seng Chua GNN CML 10 62 0 22 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks Chen Wang Chengyuan Deng GNN 21 4 0 21 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning Mahsa Mesgaran Abdessamad BenHamza 18 9 0 20 Oct 2020
Graph Fairing Convolutional Networks for Anomaly Detection Mahsa Mesgaran A. Ben Hamza 6 23 0 20 Oct 2020
Tracklets Predicting Based Adaptive Graph Tracking Chaobing Shan Chunbo Wei Bing Deng Jianqiang Huang Xiansheng Hua Xiaoliang Cheng K. Liang VOT 25 9 0 18 Oct 2020
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations Wenfeng Liu Maoguo Gong Zedong Tang •. A. K. Qin GNN 26 13 0 12 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Jovita Lukasik David Friede Arber Zela Frank Hutter M. Keuper 21 19 0 09 Oct 2020
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation Yan Zhang Zhijiang Guo Zhiyang Teng Wei Lu Shay B. Cohen Zuozhu Liu Lidong Bing GNN 22 18 0 09 Oct 2020
Directional Graph Networks Dominique Beaini Saro Passaro Vincent Létourneau William L. Hamilton Gabriele Corso Pietro Lió 42 184 0 06 Oct 2020
SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summarization Yue Yu Kexin Huang Chao Zhang Lucas Glass Jimeng Sun Cao Xiao 20 119 0 04 Oct 2020
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks Yulong Pei Tianjin Huang Werner van Ipenburg Mykola Pechenizkiy GNN 6 75 0 30 Sep 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 17 131 0 29 Sep 2020
Graph Neural Networks with Heterophily Jiong Zhu Ryan A. Rossi Anup B. Rao Tung Mai Nedim Lipka Nesreen Ahmed Danai Koutra 20 301 0 28 Sep 2020
Information Obfuscation of Graph Neural Networks Peiyuan Liao Han Zhao Keyulu Xu Tommi Jaakkola Geoffrey J. Gordon Stefanie Jegelka Ruslan Salakhutdinov AAML 8 34 0 28 Sep 2020
How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks Keyulu Xu Mozhi Zhang Jingling Li S. Du Ken-ichi Kawarabayashi Stefanie Jegelka MLT 6 305 0 24 Sep 2020
Learning Graph Normalization for Graph Neural Networks Yihao Chen Xin Tang Xianbiao Qi Chun-Guang Li Rong Xiao AI4CE 6 50 0 24 Sep 2020
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang Tijin Yan Zenjun Xie Yuanqing Xia Yuan Zhang GNN 13 24 0 24 Sep 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lió GNN 31 34 0 19 Sep 2020
Urban Traffic Flow Forecast Based on FastGCRNN Ya-Qin Zhang Mingming Lu Haifeng Li GNN AI4TS 26 20 0 17 Sep 2020
Layer-stacked Attention for Heterogeneous Network Embedding Nhat Chau Tran Jean X. Gao 14 1 0 17 Sep 2020
Beyond Localized Graph Neural Networks: An Attributed Motif Regularization Framework Aravind Sankar Junting Wang A. Krishnan Hari Sundaram 25 21 0 11 Sep 2020
Hierarchical Message-Passing Graph Neural Networks Zhiqiang Zhong Cheng-Te Li Jun Pang 17 46 0 08 Sep 2020
SNoRe: Scalable Unsupervised Learning of Symbolic Node Representations Sebastian Mežnar Nada Lavrac Blaž Škrlj 11 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 25 741 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 16 158 0 07 Sep 2020
Edge-variational Graph Convolutional Networks for Uncertainty-aware Disease Prediction Yongxiang Huang Albert C. S. Chung MedIm 17 60 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 19 2 0 05 Sep 2020
Rethinking Graph Regularization for Graph Neural Networks Han Yang Kaili Ma James Cheng AI4CE 19 72 0 04 Sep 2020
Lifelong Graph Learning Chen Wang Yuheng Qiu Dasong Gao S. Scherer CLL GNN AI4CE 26 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-Bin Lin Pan Zhou Ang Li Meng Pang H. Li Yiran Chen AAML 16 18 0 01 Sep 2020
Simplifying Architecture Search for Graph Neural Network Huan Zhao Lanning Wei Quanming Yao GNN AI4CE 12 52 0 26 Aug 2020
Learning Node Representations against Perturbations Xu Chen Yuangang Pan Ivor Tsang Ya-Qin Zhang 11 3 0 26 Aug 2020
Towards Deeper Graph Neural Networks Meng Liu Hongyang Gao Shuiwang Ji GNN AI4CE 35 595 0 18 Jul 2020
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu Haoli Zhang Zhaocheng Liu GNN 14 3 0 17 Jul 2020