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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
Hierarchical Graph Pooling with Structure Learning Zhen Zhang Jiajun Bu Martin Ester Jianfeng Zhang Chengwei Yao Zhi Yu Can Wang 88 178 0 14 Nov 2019
Multi-hop Convolutions on Weighted Graphs Qikui Zhu Bo Du Pingkun Yan 51 15 0 12 Nov 2019
GraphDefense: Towards Robust Graph Convolutional Networks Xiaoyun Wang Xuanqing Liu Cho-Jui Hsieh OOD AAML GNN 86 31 0 11 Nov 2019
HighwayGraph: Modelling Long-distance Node Relations for Improving General Graph Neural Network Deli Chen Xiaoqian Liu Yankai Lin Peng Li Jie Zhou Qi Su Xu Sun GNN 44 2 0 10 Nov 2019
Neural Graph Embedding Methods for Natural Language Processing Shikhar Vashishth GNN 63 9 0 08 Nov 2019
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction Fenyu Hu Yanqiao Zhu Shu Wu Weiran Huang Liang Wang Tieniu Tan GNN 66 47 0 05 Nov 2019
A Joint Model for Definition Extraction with Syntactic Connection and Semantic Consistency Amir Pouran Ben Veyseh Franck Dernoncourt Dejing Dou Thien Huu Nguyen 73 40 0 05 Nov 2019
Relation Learning on Social Networks with Multi-Modal Graph Edge Variational Autoencoders Carl Yang Jieyu Zhang Haonan Wang Sha Li M. Kim Matthew Walker Yiou Xiao Jiawei Han 81 43 0 04 Nov 2019
Diffusion Improves Graph Learning Johannes Klicpera Stefan Weißenberger Stephan Günnemann GNN 174 717 0 28 Oct 2019
Pre-train and Learn: Preserve Global Information for Graph Neural Networks Danhao Zhu Xinyu Dai Jiajun Chen 77 25 0 27 Oct 2019
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification Xiaochen Hou Jing Huang Guangtao Wang Xiaodong He Bowen Zhou 61 54 0 24 Oct 2019
Active Learning for Graph Neural Networks via Node Feature Propagation Yuexin Wu Yichong Xu Aarti Singh Yiming Yang A. Dubrawski GNN AI4CE 101 65 0 16 Oct 2019
DeepGCNs: Making GCNs Go as Deep as CNNs Ge Li Matthias Muller Guocheng Qian Itzel C. Delgadillo Abdulellah Abualshour Ali K. Thabet Guohao Li 3DPC GNN 98 176 0 15 Oct 2019
Rethinking Kernel Methods for Node Representation Learning on Graphs Yu Tian Long Zhao Xi Peng Dimitris N. Metaxas 64 24 0 06 Oct 2019
PairNorm: Tackling Oversmoothing in GNNs Lingxiao Zhao Leman Akoglu 85 512 0 26 Sep 2019
Overlapping Community Detection with Graph Neural Networks Oleksandr Shchur Stephan Günnemann GNN 75 133 0 26 Sep 2019
Dimensionwise Separable 2-D Graph Convolution for Unsupervised and Semi-Supervised Learning on Graphs Qimai Li Xiaotong Zhang Han Liu Quanyu Dai Xiao-Ming Wu GNN SSL 116 15 0 26 Sep 2019
Universal Graph Transformer Self-Attention Networks Dai Quoc Nguyen T. Nguyen Dinh Q. Phung ViT 108 67 0 26 Sep 2019
GraphMix: Improved Training of GNNs for Semi-Supervised Learning Vikas Verma Meng Qu Kenji Kawaguchi Alex Lamb Yoshua Bengio Arno Solin Jian Tang 84 62 0 25 Sep 2019
Geometric Brain Surface Network For Brain Cortical Parcellation Wen Zhang Yalin Wang 10 5 0 13 Sep 2019
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou Xu Sun 101 1,115 0 07 Sep 2019
Auto-GNN: Neural Architecture Search of Graph Neural Networks Kaixiong Zhou Qingquan Song Xiao Huang Helen Zhou GNN 128 186 0 07 Sep 2019
NEAR: Neighborhood Edge AggregatoR for Graph Classification Cheolhyeong Kim Haeseong Moon H. Hwang GNN 133 6 0 06 Sep 2019
CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images Yanning Zhou S. Graham Navid Alemi Koohbanani Muhammad Shaban Pheng-Ann Heng Nasir M. Rajpoot MedIm 115 174 0 03 Sep 2019
Spam Review Detection with Graph Convolutional Networks Ao Li Zhou Qin Runshi Liu Yiqun Yang Dong Li GNN 69 247 0 22 Aug 2019
Semi-Implicit Graph Variational Auto-Encoders Arman Hasanzadeh Ehsan Hajiramezanali N. Duffield Krishna R. Narayanan Mingyuan Zhou Xiaoning Qian BDL GNN 77 132 0 19 Aug 2019
Message Passing Attention Networks for Document Understanding Giannis Nikolentzos A. Tixier Michalis Vazirgiannis GNN 80 70 0 17 Aug 2019
Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning Zhijiang Guo Yan Zhang Zhiyang Teng Wei Lu GNN 90 131 0 16 Aug 2019
AdaGCN: Adaboosting Graph Convolutional Networks into Deep Models Ke Sun Zhanxing Zhu Zhouchen Lin GNN 96 83 0 14 Aug 2019
InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization Fan-Yun Sun Jordan Hoffmann Vikas Verma Jian Tang SSL 177 867 0 31 Jul 2019
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification Yu Rong Wenbing Huang Tingyang Xu Junzhou Huang 119 1,353 0 25 Jul 2019
Tripartite Heterogeneous Graph Propagation for Large-scale Social Recommendation KyungHyun Kim Donghyun Kwak Hanock Kwak Young-Jin Park Sangkwon Sim Jae-Han Cho Minkyu Kim Jihun Kwon Nako Sung Jung-Woo Ha 71 19 0 24 Jul 2019
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology Nima Dehmamy Albert-László Barabási Rose Yu GNN 97 135 0 11 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 143 970 0 10 Jul 2019
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation Shuo-feng Zhang Lei Xie GNN 87 55 0 04 Jul 2019
Alchemy: A Quantum Chemistry Dataset for Benchmarking AI Models Guangyong Chen Pengfei Chen Chang-Yu Hsieh Chee-Kong Lee B. Liao ... J. Qiu Qiming Sun Jie Tang R. Zemel Shengyu Zhang 74 76 0 22 Jun 2019
Graph Star Net for Generalized Multi-Task Learning H. Lu Seth H. Huang Tian Ye Xiuyan Guo GNN 80 46 0 21 Jun 2019
Attention Guided Graph Convolutional Networks for Relation Extraction Zhijiang Guo Yan Zhang Wei Lu GNN 97 411 0 18 Jun 2019
Position-aware Graph Neural Networks Jiaxuan You Rex Ying J. Leskovec 102 498 0 11 Jun 2019
What Can Neural Networks Reason About? Keyulu Xu Jingling Li Mozhi Zhang S. Du Ken-ichi Kawarabayashi Stefanie Jegelka NAI AI4CE 106 248 0 30 May 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 142 276 0 30 May 2019
Neural Consciousness Flow Xiaoran Xu Wei Feng Zhiqing Sun Zhihong Deng GNN AI4CE 77 2 0 30 May 2019
On the equivalence between graph isomorphism testing and function approximation with GNNs Zhengdao Chen Soledad Villar Lei Chen Joan Bruna 116 283 0 29 May 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 130 1,419 0 29 May 2019
Incidence Networks for Geometric Deep Learning Marjan Albooyeh Daniele Bertolini Siamak Ravanbakhsh GNN 80 26 0 27 May 2019
Graph Filtration Learning Christoph Hofer Florian Graf Bastian Rieck Marc Niethammer Roland Kwitt 125 102 0 27 May 2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach Changjun Fan Li Zeng Yuhui Ding Muhao Chen Yizhou Sun Zhong Liu GNN 77 68 0 24 May 2019
Adversarial Learned Molecular Graph Inference and Generation Sebastian Polsterl Christian Wachinger GAN 122 7 0 24 May 2019
MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions Nuo Xu Peijie Wang Long Chen Jing Tao Junzhou Zhao GNN 90 94 0 23 May 2019
Estimating Node Importance in Knowledge Graphs Using Graph Neural Networks Namyong Park Andrey Kan Xin Luna Dong Tong Zhao Christos Faloutsos 76 158 0 21 May 2019