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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
Interpreting and Unifying Graph Neural Networks with An Optimization Framework Meiqi Zhu Xiao Wang C. Shi Houye Ji Peng Cui AI4CE 127 203 0 28 Jan 2021
Edge-Featured Graph Attention Network Jun Chen Hao-peng Chen GNN 68 36 0 19 Jan 2021
BiGCN: A Bi-directional Low-Pass Filtering Graph Neural Network Zhixiang Chen Tengfei Ma Zhihua Jin Yangqiu Song Yangkun Wang GNN 78 5 0 14 Jan 2021
Symmetry-adapted graph neural networks for constructing molecular dynamics force fields Zun Wang Chong Wang Sibo Zhao Shiqiao Du Yong Xu B. Gu W. Duan AI4CE 108 14 0 08 Jan 2021
Node2Seq: Towards Trainable Convolutions in Graph Neural Networks Hao Yuan Shuiwang Ji GNN 132 7 0 06 Jan 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 117 58 0 31 Dec 2020
Adaptive Graph Diffusion Networks Chuxiong Sun Jie Hu Hongming Gu Jinpeng Chen Mingchuan Yang GNN DiffM AI4CE 88 12 0 30 Dec 2020
Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks Binghui Wang Jinyuan Jia Neil Zhenqiang Gong GNN 101 18 0 24 Dec 2020
How Does a Neural Network's Architecture Impact Its Robustness to Noisy Labels? Jingling Li Mozhi Zhang Keyulu Xu John P. Dickerson Jimmy Ba OOD NoLa 101 19 0 23 Dec 2020
Solving Mixed Integer Programs Using Neural Networks Vinod Nair Sergey Bartunov Felix Gimeno Ingrid von Glehn Pawel Lichocki ... Pushmeet Kohli Ira Ktena Yujia Li Oriol Vinyals Yori Zwols 216 251 0 23 Dec 2020
A Generalization of Transformer Networks to Graphs Vijay Prakash Dwivedi Xavier Bresson AI4CE 115 763 0 17 Dec 2020
Graph Neural Networks: Taxonomy, Advances and Trends Yu Zhou Haixia Zheng Xin Huang Shufeng Hao Dengao Li Jumin Zhao AI4TS 166 125 0 16 Dec 2020
Hierarchical Graph Capsule Network Jinyu Yang P. Zhao Yu Rong Chao-chao Yan Chunyuan Li Hehuan Ma Junzhou Huang 69 31 0 16 Dec 2020
Breaking the Expressive Bottlenecks of Graph Neural Networks Mingqi Yang Yanming Shen Heng Qi Baocai Yin 72 10 0 14 Dec 2020
Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy A. De Soumen Chakrabarti 66 15 0 13 Dec 2020
GNN-XML: Graph Neural Networks for Extreme Multi-label Text Classification Daoming Zong Shiliang Sun 41 9 0 10 Dec 2020
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 97 38 0 09 Dec 2020
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs Binghui Wang Ang Li H. Li Yiran Chen 138 118 0 08 Dec 2020
NCGNN: Node-Level Capsule Graph Neural Network for Semisupervised Classification Rui Yang Wenrui Dai Chenglin Li Junni Zou H. Xiong 120 21 0 07 Dec 2020
Deep Graph Neural Networks with Shallow Subgraph Samplers Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 95 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 144 145 0 23 Nov 2020
Stacked Graph Filter Hoang NT Takanori Maehara T. Murata GNN 64 4 0 22 Nov 2020
Node Similarity Preserving Graph Convolutional Networks Wei Jin Hanyu Wang Yiqi Wang Yao Ma Zitao Liu Jiliang Tang 88 258 0 19 Nov 2020
Design Space for Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec GNN AI4CE 204 323 0 17 Nov 2020
Node Attribute Completion in Knowledge Graphs with Multi-Relational Propagation Eda Bayram Alberto García-Durán Robert West 73 13 0 10 Nov 2020
On Self-Distilling Graph Neural Network Y. Chen Yatao Bian Xi Xiao Yu Rong Tingyang Xu Junzhou Huang FedML 69 49 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 54 147 0 29 Oct 2020
On Graph Neural Networks versus Graph-Augmented MLPs Lei Chen Zhengdao Chen Joan Bruna 76 46 0 28 Oct 2020
Contrastive Graph Neural Network Explanation Lukas Faber A. K. Moghaddam Roger Wattenhofer 85 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 70 9 0 26 Oct 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 167 240 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 102 107 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 68 63 0 22 Oct 2020
On the Global Self-attention Mechanism for Graph Convolutional Networks Chen Wang Chengyuan Deng GNN 80 4 0 21 Oct 2020
Anisotropic Graph Convolutional Network for Semi-supervised Learning Mahsa Mesgaran Abdessamad BenHamza 69 11 0 20 Oct 2020
Graph Fairing Convolutional Networks for Anomaly Detection Mahsa Mesgaran A. Ben Hamza 69 24 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 108 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 76 15 0 12 Oct 2020
Smooth Variational Graph Embeddings for Efficient Neural Architecture Search Jovita Lukasik David Friede Arber Zela Frank Hutter Margret Keuper 88 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 85 19 0 09 Oct 2020
Directional Graph Networks Dominique Beaini Saro Passaro Vincent Létourneau William L. Hamilton Gabriele Corso Pietro Lio 105 193 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 105 126 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 110 79 0 30 Sep 2020
Multi-hop Attention Graph Neural Network Guangtao Wang Rex Ying Jing Huang J. Leskovec 82 135 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 91 314 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 130 35 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 184 313 0 24 Sep 2020
Learning Graph Normalization for Graph Neural Networks Yihao Chen Xin Tang Xianbiao Qi Chun-Guang Li Rong Xiao AI4CE 116 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 81 24 0 24 Sep 2020
Learned Low Precision Graph Neural Networks Yiren Zhao Duo Wang Daniel Bates Robert D. Mullins M. Jamnik Pietro Lio GNN 73 36 0 19 Sep 2020