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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Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 38 3 0 01 Mar 2023
Are More Layers Beneficial to Graph Transformers? Haiteng Zhao Shuming Ma Dongdong Zhang Zhi-Hong Deng Furu Wei 27 12 0 01 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 23 5 0 28 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Q. Zhang Chuan Zhou Shirui Pan GNN 18 30 0 23 Feb 2023
MesoGraph: Automatic Profiling of Malignant Mesothelioma Subtypes from Histological Images Mark Eastwood H. Sailem Silviu Tudor Marc Xiaohong Gao J. Offman ... W. Cookson M. Moffatt S. Popat F. Minhas J. Robertus 17 1 0 23 Feb 2023
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems Heesoo Jung Sangpil Kim Hogun Park 13 5 0 21 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 17 2 0 17 Feb 2023
Building Shortcuts between Distant Nodes with Biaffine Mapping for Graph Convolutional Networks Acong Zhang Jincheng Huang Ping Li Kaizheng Zhang GNN 19 5 0 17 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 29 16 0 17 Feb 2023
Understanding Oversquashing in GNNs through the Lens of Effective Resistance Mitchell Black Zhengchao Wan A. Nayyeri Yusu Wang 30 64 0 14 Feb 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks L. Zhang Xiaodong Yan Jianshan He Ruopeng Li Wei Chu GNN 11 12 0 10 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 9 2 0 09 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 11 25 0 08 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 11 2 0 07 Feb 2023
On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology Francesco Di Giovanni Lorenzo Giusti Federico Barbero Giulia Luise Pietro Lio' Michael M. Bronstein 35 112 0 06 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang M. Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 19 16 0 06 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 19 57 0 06 Feb 2023
Bi-level Multi-objective Evolutionary Learning: A Case Study on Multi-task Graph Neural Topology Search Chao Wang Licheng Jiao Jiaxuan Zhao Lingling Li Xu Liu F. Liu Shuyuan Yang 29 5 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 21 62 0 03 Feb 2023
Predicting the Silent Majority on Graphs: Knowledge Transferable Graph Neural Network Wendong Bi Bingbing Xu Xiaoqian Sun Li Xu Huawei Shen Xueqi Cheng 20 16 0 02 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 11 0 0 01 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 18 8 0 29 Jan 2023
WL meet VC Christopher Morris Floris Geerts Jan Tonshoff Martin Grohe 36 26 0 26 Jan 2023
Visiting Distant Neighbors in Graph Convolutional Networks Ali Hashemi H. Makse GNN 19 1 0 26 Jan 2023
Understanding and Improving Deep Graph Neural Networks: A Probabilistic Graphical Model Perspective Jiayuan Chen Xiang Zhang Yinfei Xu Tianli Zhao Renjie Xie Wei Xu GNN BDL 21 0 0 25 Jan 2023
GIPA: A General Information Propagation Algorithm for Graph Learning Houyi Li Zhihong Chen Zhao Li Qinkai Zheng Peng Zhang Shuigeng Zhou 41 0 0 19 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 34 1 0 16 Jan 2023
Beyond Graph Convolutional Network: An Interpretable Regularizer-centered Optimization Framework Shiping Wang Zhihao Wu Yuhong Chen Yongzhe Chen GNN BDL 24 13 0 11 Jan 2023
Weakly Supervised Joint Whole-Slide Segmentation and Classification in Prostate Cancer Pushpak Pati Guillaume Jaume Zeineb Ayadi Kevin Thandiackal Behzad Bozorgtabar M. Gabrani O. Goksel 14 17 0 07 Jan 2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Yeskendir Koishekenov 19 2 0 07 Jan 2023
Generative Graph Neural Networks for Link Prediction Xingping Xian Tao Wu Xiaoke Ma Shaojie Qiao Yabin Shao Chao Wang Lin Yuan Yuehua Wu AI4CE 28 4 0 31 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 25 1 0 24 Dec 2022
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 16 27 0 21 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks X. Wu Zhengdao Chen W. Wang Ali Jadbabaie 17 38 0 21 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 24 13 0 18 Dec 2022
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 19 51 0 18 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 8 12 0 16 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 6 33 0 15 Dec 2022
Learning Graph Algorithms With Recurrent Graph Neural Networks Florian Grötschla Joël Mathys Roger Wattenhofer GNN 19 6 0 09 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 20 0 0 01 Dec 2022
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 25 7 0 30 Nov 2022
Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification Moshe Eliasof E. Haber Eran Treister GNN 25 0 0 29 Nov 2022
You Can Have Better Graph Neural Networks by Not Training Weights at All: Finding Untrained GNNs Tickets Tianjin Huang Tianlong Chen Meng Fang Vlado Menkovski Jiaxu Zhao ... Yulong Pei D. Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 36 14 0 28 Nov 2022
DGI: Easy and Efficient Inference for GNNs Peiqi Yin Xiao Yan Jinjing Zhou Qiang Fu Zhenkun Cai James Cheng Bo Tang Minjie Wang GNN 28 3 0 28 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 40 21 0 25 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 19 26 0 25 Nov 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning Siyi Li Mingrui Zhang M. Piggott 20 28 0 24 Nov 2022
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing Yue Tan Yixin Liu Guodong Long Jing Jiang Qinghua Lu Chengqi Zhang FedML 37 125 0 23 Nov 2022
Enhancing Intra-class Information Extraction for Heterophilous Graphs: One Neural Architecture Search Approach Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 19 1 0 20 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 18 1 0 19 Nov 2022