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
A Survey on Graph-Based Deep Learning for Computational Histopathology David Ahmedt-Aristizabal M. Armin Simon Denman Clinton Fookes L. Petersson GNN AI4CE 19 108 0 01 Jul 2021
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification Wenming Tang 3DH AI4CE 19 19 0 30 Jun 2021
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BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation Mingguo He Zhewei Wei Zengfeng Huang Hongteng Xu 44 212 0 21 Jun 2021
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem Jiaqi Ma Junwei Deng Qiaozhu Mei AAML GNN 19 33 0 21 Jun 2021
Message Passing in Graph Convolution Networks via Adaptive Filter Banks Xing Gao Wenrui Dai Chenglin Li Junni Zou H. Xiong P. Frossard GNN 22 6 0 18 Jun 2021
AMA-GCN: Adaptive Multi-layer Aggregation Graph Convolutional Network for Disease Prediction Hao Chen Fuzhen Zhuang Li Xiao Ling Ma Haiyan Liu Ruifang Zhang Huiqin Jiang Qing He 21 14 0 16 Jun 2021
First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track Chengxuan Ying Mingqi Yang Shuxin Zheng Guolin Ke Shengjie Luo Tianle Cai Chenglin Wu Yuxin Wang Yanming Shen Di He 16 11 0 15 Jun 2021
Evaluating Modules in Graph Contrastive Learning Ganqu Cui Y. Du Cheng Yang Jie Zhou Liang Xu Xing Zhou Lifeng Wang Zhiyuan Liu 23 3 0 15 Jun 2021
How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications Jiong Zhu Junchen Jin Donald Loveland Michael T. Schaub Danai Koutra AAML 32 35 0 14 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 51 235 0 14 Jun 2021
Breaking the Limit of Graph Neural Networks by Improving the Assortativity of Graphs with Local Mixing Patterns Susheel Suresh Vinith Budde Jennifer Neville Pan Li Jianzhu Ma 32 131 0 11 Jun 2021
Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs Seongjun Yun Minbyul Jeong Sungdong Yoo Seunghun Lee Sean S. Yi Raehyun Kim Jaewoo Kang Hyunwoo J. Kim 24 65 0 11 Jun 2021
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings Matthias Fey J. E. Lenssen F. Weichert J. Leskovec GNN 18 132 0 10 Jun 2021
AKE-GNN: Effective Graph Learning with Adaptive Knowledge Exchange Liang Zeng Jin Xu Zijun Yao Yanqiao Zhu Jian Li 27 1 0 10 Jun 2021
Self-Supervised Graph Learning with Proximity-based Views and Channel Contrast Wei Zhuo Guang Tan SSL 19 0 0 07 Jun 2021
Pseudo-Riemannian Graph Convolutional Networks Bo Xiong Shichao Zhu Nico Potyka Shirui Pan Chuan Zhou Steffen Staab GNN 38 28 0 06 Jun 2021
Learning from Counterfactual Links for Link Prediction Tong Zhao Gang Liu Daheng Wang Wenhao Yu Meng Jiang CML OOD 28 93 0 03 Jun 2021
KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction Abhishek Nadgeri Anson Bastos Kuldeep Singh I. Mulang' Johannes Hoffart Saeedeh Shekarpour V. Saraswat SLR 20 33 0 01 Jun 2021
Relational Graph Neural Network Design via Progressive Neural Architecture Search Ailing Zeng Minhao Liu Zhiwei Liu Ruiyuan Gao Jing Qin Qiang Xu 19 0 0 30 May 2021
GCN-SL: Graph Convolutional Networks with Structure Learning for Graphs under Heterophily Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN 26 2 0 28 May 2021
Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention Byung-Hoon Kim Jong Chul Ye Jae-Jin Kim 34 129 0 27 May 2021
Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions Zhenyue Qin Saeed Anwar Dongwoo Kim Yang Liu Pan Ji Tom Gedeon 30 2 0 24 May 2021
Residual Network and Embedding Usage: New Tricks of Node Classification with Graph Convolutional Networks Huixuan Chi Yuying Wang Qinfen Hao Hong Xia GNN 24 11 0 18 May 2021
KECRS: Towards Knowledge-Enriched Conversational Recommendation System Tong Zhang Yong-jin Liu Peixiang Zhong Chen Zhang Hao Wang Chunyan Miao 16 29 0 18 May 2021
Improving Graph Neural Networks with Simple Architecture Design S. Maurya Xin Liu T. Murata 26 47 0 17 May 2021
Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth Keyulu Xu Mozhi Zhang Stefanie Jegelka Kenji Kawaguchi GNN 22 75 0 10 May 2021
Non-Recursive Graph Convolutional Networks Hao Chen Zengde Deng Yue Xu Zhoujun Li GNN 30 8 0 09 May 2021
FedGL: Federated Graph Learning Framework with Global Self-Supervision Chuan Chen Weibo Hu Ziyue Xu Zibin Zheng FedML 27 54 0 07 May 2021
Learning Graph Embeddings for Open World Compositional Zero-Shot Learning Massimiliano Mancini Muhammad Ferjad Naeem Yongqin Xian Zeynep Akata CoGe 72 67 0 03 May 2021
UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks Jing Huang Jie-jin Yang AI4CE GNN 19 167 0 03 May 2021
Black-box Gradient Attack on Graph Neural Networks: Deeper Insights in Graph-based Attack and Defense Haoxi Zhan Xiaobing Pei AAML 24 9 0 30 Apr 2021
Node Embedding using Mutual Information and Self-Supervision based Bi-level Aggregation Kashob Kumar Roy Amit Roy A. Rahman M. A. Amin A. Ali SSL 24 10 0 27 Apr 2021
Mini-batch graphs for robust image classification Arnab Kumar Mondal V. Jain K. Siddiqi OOD 41 6 0 22 Apr 2021
Accelerating SpMM Kernel with Cache-First Edge Sampling for Graph Neural Networks Chien-Yu Lin Liang Luo Luis Ceze GNN 79 8 0 21 Apr 2021
GraphTheta: A Distributed Graph Neural Network Learning System With Flexible Training Strategy Yongchao Liu Houyi Li Guowei Zhang Xintan Zeng Yongyong Li ... Peng Zhang Zhao Li Kefeng Deng Changhua He Wenguang Chen GNN 44 11 0 21 Apr 2021
GMLP: Building Scalable and Flexible Graph Neural Networks with Feature-Message Passing Wentao Zhang Yu Shen Zheyu Lin Yang Li Xiaosen Li Wenbin Ouyang Yangyu Tao Zhi-Xin Yang Bin Cui 27 9 0 20 Apr 2021
SAS: A Simple, Accurate and Scalable Node Classification Algorithm Ziyuan Wang Fengzhao Yang Rui Fan GNN 30 0 0 19 Apr 2021
Bayesian graph convolutional neural networks via tempered MCMC Rohitash Chandra A. Bhagat Manavendra Maharana P. Krivitsky GNN BDL 23 16 0 17 Apr 2021
Search to aggregate neighborhood for graph neural network Huan Zhao Quanming Yao Wei-Wei Tu GNN 35 90 0 14 Apr 2021
Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning Shiyi Chen Ziao Wang Xinni Zhang Xiaofeng Zhang Dan Peng SSL 21 1 0 13 Apr 2021
Edgeless-GNN: Unsupervised Representation Learning for Edgeless Nodes Yong-Min Shin Cong Tran Won-Yong Shin Xin Cao SSL 21 6 0 12 Apr 2021
The World as a Graph: Improving El Niño Forecasts with Graph Neural Networks Salva Rühling Cachay Emma Erickson A. Bucker Ernest Pokropek Willa Potosnak S. Bire Salomey Osei Björn Lütjens AI4TS 16 25 0 11 Apr 2021
AutoGL: A Library for Automated Graph Learning Ziwei Zhang Yijian Qin Zeyang Zhang Chaoyu Guan Jie Cai ... Beini Xie Yang Yao Yipeng Zhang Xin Wang Wenwu Zhu 27 30 0 11 Apr 2021
Learning to Coordinate via Multiple Graph Neural Networks Zhiwei Xu Bin Zhang Yunpeng Bai Dapeng Li Guoliang Fan GNN AI4CE 29 8 0 08 Apr 2021
Improving the Expressive Power of Graph Neural Network with Tinhofer Algorithm Alan J. X. Guo Qing-Hu Hou Ou Wu 27 0 0 05 Apr 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 33 100 0 03 Apr 2021
Parameterized Hypercomplex Graph Neural Networks for Graph Classification Tuan Le Marco Bertolini Frank Noé Djork-Arné Clevert 16 15 0 30 Mar 2021
RAN-GNNs: breaking the capacity limits of graph neural networks D. Valsesia Giulia Fracastoro E. Magli GNN 38 7 0 29 Mar 2021