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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
Revisiting Over-smoothing in BERT from the Perspective of Graph Han Shi Jiahui Gao Hang Xu Xiaodan Liang Zhenguo Li Lingpeng Kong Stephen M. S. Lee James T. Kwok 89 76 0 17 Feb 2022
Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning Kaize Ding Yancheng Wang Yingzhen Yang Huan Liu 84 22 0 17 Feb 2022
Transformer for Graphs: An Overview from Architecture Perspective Erxue Min Runfa Chen Yatao Bian Tingyang Xu Kangfei Zhao Wenbing Huang P. Zhao Junzhou Huang Sophia Ananiadou Yu Rong 92 145 0 17 Feb 2022
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability Yongqiang Chen Han Yang Yonggang Zhang Kaili Ma Tongliang Liu Bo Han James Cheng AAML 122 86 0 16 Feb 2022
Graph Neural Networks for Graphs with Heterophily: A Survey Xin-Yang Zheng Yi Wang Yixin Liu Ming Li Miao Zhang Di Jin Philip S. Yu Shirui Pan 100 227 0 14 Feb 2022
Robust Graph Representation Learning for Local Corruption Recovery Bingxin Zhou Yuanhong Jiang Yu Guang Wang Jingwei Liang Junbin Gao Shirui Pan Xiaoqun Zhang OOD 106 12 0 10 Feb 2022
Simplified Graph Convolution with Heterophily Sudhanshu Chanpuriya Cameron Musco 81 24 0 08 Feb 2022
Graph-Coupled Oscillator Networks T. Konstantin Rusch B. Chamberlain J. Rowbottom S. Mishra M. Bronstein 106 115 0 04 Feb 2022
Memory-based Message Passing: Decoupling the Message for Propogation from Discrimination Jie Chen Weiqi Liu Jianghuai Pu 78 10 0 01 Feb 2022
Dimensionality Reduction Meets Message Passing for Graph Node Embeddings Krzysztof Sadowski Michal Szarmach Eddie Mattia 65 6 0 01 Feb 2022
Over-smoothing Effect of Graph Convolutional Networks Fang Sun 64 1 0 30 Jan 2022
Representing Long-Range Context for Graph Neural Networks with Global Attention Zhanghao Wu Paras Jain Matthew A. Wright Azalia Mirhoseini Joseph E. Gonzalez Ion Stoica GNN 126 294 0 21 Jan 2022
Cross-Domain Few-Shot Graph Classification Kaveh Hassani 107 32 0 20 Jan 2022
Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng Muhan Zhang Yinglong Xia Ajitesh Srivastava Andrey Malevich Rajgopal Kannan Viktor Prasanna Long Jin Ren Chen GNN 92 147 0 19 Jan 2022
Debiased Graph Neural Networks with Agnostic Label Selection Bias Shaohua Fan Xiao Wang Chuan Shi Kun Kuang Nian Liu Bai Wang AI4CE 101 39 0 19 Jan 2022
Graph Neural Network-based Android Malware Classification with Jumping Knowledge Wai Weng Lo S. Layeghy Mohanad Sarhan Marcus Gallagher Marius Portmann 79 19 0 19 Jan 2022
Graph Neural Networks for Cross-Camera Data Association Elena Luna Juan C. Sanmiguel Jose M. Martínez Pablo Carballeira 60 21 0 17 Jan 2022
Compact Graph Structure Learning via Mutual Information Compression Nian Liu Xiao Wang Lingfei Wu Yu Chen Xiaojie Guo Chuan Shi 82 46 0 14 Jan 2022
Learning Fair Node Representations with Graph Counterfactual Fairness Jing Ma Ruocheng Guo Mengting Wan Longqi Yang Aidong Zhang Jundong Li FaML 121 81 0 10 Jan 2022
Automated Graph Machine Learning: Approaches, Libraries, Benchmarks and Directions Xin Wang Ziwei Zhang Haoyang Li Wenwu Zhu 127 2 0 04 Jan 2022
Graph Neural Networks for Double-Strand DNA Breaks Prediction Xiaobei Wang Huan Zhao Weiwei Tu Hao Li Yu Sun Xiaochen Bo 37 2 0 04 Jan 2022
KerGNNs: Interpretable Graph Neural Networks with Graph Kernels Aosong Feng Chenyu You Shiqiang Wang Leandros Tassiulas GNN 68 83 0 03 Jan 2022
Scalable Deep Graph Clustering with Random-walk based Self-supervised Learning Xiang Li Dong Li R. Jin G. Agrawal R. Ramnath GNN 51 4 0 31 Dec 2021
Measuring and Sampling: A Metric-guided Subgraph Learning Framework for Graph Neural Network Jiyang Bai Yuxiang Ren Jiawei Zhang 62 3 0 30 Dec 2021
Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks Qingsong Lv Ming Ding Qiang Liu Yuxiang Chen Wenzheng Feng Siming He Chang Zhou Jianguo Jiang Yuxiao Dong Jie Tang 129 330 0 30 Dec 2021
Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspective Lanning Wei Huan Zhao Zhiqiang He AI4CE 79 44 0 29 Dec 2021
Deformable Graph Convolutional Networks Jinyoung Park Sungdong Yoo Jihwan Park Hyunwoo J. Kim GNN 132 13 0 29 Dec 2021
Learn Layer-wise Connections in Graph Neural Networks Lanning Wei Huan Zhao Zhiqiang He GNN 27 4 0 27 Dec 2021
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? Ziwei Zhang Xin Eric Wang Zeyang Zhang Peng Cui Wenwu Zhu 3DPC 53 6 0 23 Dec 2021
SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks Weigang Lu Yibing Zhan Binbin Lin Ziyu Guan Liu Liu Baosheng Yu Wei Zhao Yaming Yang Dacheng Tao GNN 68 15 0 22 Dec 2021
Lifelong Learning on Evolving Graphs Under the Constraints of Imbalanced Classes and New Classes Lukas Galke Iacopo Vagliano Benedikt Franke Tobias Zielke Marcel Hoffmann A. Scherp CLL 87 14 0 20 Dec 2021
RetroComposer: Composing Templates for Template-Based Retrosynthesis Prediction Chao-chao Yan P. Zhao Chan Lu Yang Yu Junzhou Huang 75 22 0 20 Dec 2021
Meta Propagation Networks for Graph Few-shot Semi-supervised Learning Kaize Ding Jianling Wang James Caverlee Huan Liu SSL 74 42 0 18 Dec 2021
Set Twister for Single-hop Node Classification Yangze Zhou Vinayak A. Rao Bruno Ribeiro 65 0 0 17 Dec 2021
Incomplete Knowledge Graph Alignment Vinh Tong T. T. Huynh Thanh Tam Nguyen Hongzhi Yin Quoc Viet Hung Nguyen Quyet-Thang Huynh 98 1 0 17 Dec 2021
A New Perspective on the Effects of Spectrum in Graph Neural Networks Mingqi Yang Yanming Shen Rui Li Heng Qi Qian Zhang Baocai Yin GNN 77 30 0 14 Dec 2021
Adaptive Kernel Graph Neural Network Mingxuan Ju Shifu Hou Yujie Fan Jianan Zhao Liang Zhao Yanfang Ye 124 24 0 08 Dec 2021
Fast Graph Neural Tangent Kernel via Kronecker Sketching Shunhua Jiang Yunze Man Zhao Song Zheng Yu Danyang Zhuo 84 6 0 04 Dec 2021
STJLA: A Multi-Context Aware Spatio-Temporal Joint Linear Attention Network for Traffic Forecasting Yuchen Fang Yanjun Qin Haiyong Luo Fang Zhao Chenxing Wang GNN AI4TS 21 1 0 04 Dec 2021
Multi-scale Graph Convolutional Networks with Self-Attention Zhilong Xiong Jia Cai GNN 107 2 0 04 Dec 2021
AutoGEL: An Automated Graph Neural Network with Explicit Link Information Zhiling Wang Shimin Di Lei Chen GNN AI4CE 94 40 0 02 Dec 2021
Structure-Aware Label Smoothing for Graph Neural Networks Yiwei Wang Yujun Cai Yuxuan Liang Wei Wang Henghui Ding Muhao Chen Jing Tang Bryan Hooi 59 3 0 01 Dec 2021
Understanding over-squashing and bottlenecks on graphs via curvature Jake Topping Francesco Di Giovanni B. Chamberlain Xiaowen Dong M. Bronstein 154 451 0 29 Nov 2021
AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020 Jin Xu Mingjian Chen Jianqiang Huang Xingyuan Tang Ke Hu Jian Li Jia Cheng Jun Lei 58 2 0 25 Nov 2021
On the Unreasonable Effectiveness of Feature propagation in Learning on Graphs with Missing Node Features Emanuele Rossi Henry Kenlay Maria I. Gorinova B. Chamberlain Xiaowen Dong M. Bronstein 91 98 0 23 Nov 2021
Graph Neural Networks with Parallel Neighborhood Aggregations for Graph Classification Siddhant Doshi S. Chepuri GNN 52 6 0 22 Nov 2021
Generalizing Graph Neural Networks on Out-Of-Distribution Graphs Shaohua Fan Xiao Wang Chuan Shi Peng Cui Bai Wang CML OOD OODD AI4CE 167 89 0 20 Nov 2021
Graph Neural Networks with Feature and Structure Aware Random Walk Wei Zhuo Chenyun Yu Guang Tan GNN 34 1 0 19 Nov 2021
IV-GNN : Interval Valued Data Handling Using Graph Neural Network Sucheta Dawn S. Bandyopadhyay GNN 81 2 0 17 Nov 2021
Enabling Automated FPGA Accelerator Optimization Using Graph Neural Networks Atefeh Sohrabizadeh Yunsheng Bai Yizhou Sun Jason Cong GNN 66 7 0 17 Nov 2021