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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"

33 / 933 papers shown

Title
Mutual Information Maximization in Graph Neural Networks Xinhan Di Pengqian Yu Rui Bu Mingchao Sun 73 21 0 21 May 2019
Generating Logical Forms from Graph Representations of Text and Entities Peter Shaw Philip Massey Angelica Chen Francesco Piccinno Yasemin Altun GNN AI4CE NAI 77 38 0 21 May 2019
Neural Graph Collaborative Filtering Xiang Wang Xiangnan He Meng Wang Fuli Feng Tat-Seng Chua 199 3,017 0 20 May 2019
KGAT: Knowledge Graph Attention Network for Recommendation Xiang Wang Xiangnan He Yixin Cao Meng Liu Tat-Seng Chua OffRL 90 1,838 0 20 May 2019
IPC: A Benchmark Data Set for Learning with Graph-Structured Data Patrick Ferber Tengfei Ma Siyu Huo Jie Chen Michael Katz PINN 67 5 0 15 May 2019
Function Space Pooling For Graph Convolutional Networks P. Corcoran GNN 177 3 0 15 May 2019
Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs Lingbing Guo Zequn Sun Wei Hu 85 270 0 13 May 2019
On Graph Classification Networks, Datasets and Baselines Enxhell Luzhnica Ben Day Pietro Lio GNN 66 19 0 12 May 2019
A Deep Generative Model for Graph Layout Oh-Hyun Kwon K. Ma DRL GNN 79 49 0 27 Apr 2019
Self-Attention Graph Pooling Junhyun Lee Inyeop Lee Jaewoo Kang GNN 192 1,133 0 17 Apr 2019
Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks Matthias Fey GNN 66 47 0 09 Apr 2019
DeepGCNs: Can GCNs Go as Deep as CNNs? Ge Li Matthias Muller Ali K. Thabet Guohao Li 3DPC GNN 161 1,354 0 07 Apr 2019
Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity Yunsheng Bai Haoyang Ding Yang Qiao Agustin Marinovic Ken Gu Tingting Chen Yizhou Sun Wei Wang 107 10 0 01 Apr 2019
InceptionGCN: Receptive Field Aware Graph Convolutional Network for Disease Prediction Anees Kazi Shayan Shekarforoush S. Krishna Hendrik Burwinkel G. Vivar K. Kortüm Seyed-Ahmad Ahmadi Shadi Albarqouni Nassir Navab GNN MedIm 73 147 0 11 Mar 2019
Fisher-Bures Adversary Graph Convolutional Networks Ke Sun Piotr Koniusz Zhen Wang GNN 60 34 0 11 Mar 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 163 1,336 0 10 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 157 262 0 06 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 293 4,375 0 06 Mar 2019
Graph Neural Networks for User Identity Linkage Wen Zhang Kai Shu Huan Liu Yalin Wang 68 33 0 06 Mar 2019
Adversarial Examples on Graph Data: Deep Insights into Attack and Defense Huijun Wu Chen Wang Y. Tyshetskiy Andrew Docherty Kai Lu Liming Zhu AAML GNN 35 6 0 05 Mar 2019
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification Fenyu Hu Yanqiao Zhu Shu Wu Liang Wang Tieniu Tan GNN 56 7 0 13 Feb 2019
Deep Node Ranking for Neuro-symbolic Structural Node Embedding and Classification Blaž Škrlj Jan Kralj Janez Konc Marko Robnik-Šikonja Nada Lavrac GNN BDL 58 3 0 11 Feb 2019
Confidence-based Graph Convolutional Networks for Semi-Supervised Learning Shikhar Vashishth Prateek Yadav Manik Bhandari Partha P. Talukdar GNN 64 40 0 24 Jan 2019
Hypergraph Convolution and Hypergraph Attention S. Bai Feihu Zhang Philip Torr GNN 114 632 0 23 Jan 2019
Graph Neural Networks with convolutional ARMA filters F. Bianchi Daniele Grattarola L. Livi Cesare Alippi GNN 141 399 0 05 Jan 2019
Graph Neural Networks: A Review of Methods and Applications Jie Zhou Ganqu Cui Shengding Hu Zhengyan Zhang Cheng Yang Zhiyuan Liu Lifeng Wang Changcheng Li Maosong Sun AI4CE GNN 1.2K 5,588 0 20 Dec 2018
Deep Learning on Graphs: A Survey Ziwei Zhang Peng Cui Wenwu Zhu GNN 198 1,342 0 11 Dec 2018
Graph Node-Feature Convolution for Representation Learning Li Zhang Heda Song Nikolaos Aletras Haiping Lu GNN SSL 52 13 0 30 Nov 2018
Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Yun Liang 129 193 0 05 Nov 2018
Towards Sparse Hierarchical Graph Classifiers Cătălina Cangea Petar Velickovic Nikola Jovanović Thomas Kipf Pietro Lio GNN 219 260 0 03 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 227 1,701 0 14 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 205 1,650 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 286 7,726 0 01 Oct 2018