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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
Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs Chenxiao Yang Qitian Wu Jiahua Wang Junchi Yan AI4CE 119 56 0 18 Dec 2022
Learnable Commutative Monoids for Graph Neural Networks Euan Ong Petar Velickovic 101 15 0 16 Dec 2022
Non-IID Transfer Learning on Graphs Jun Wu Jingrui He Elizabeth Ainsworth OOD 70 39 0 15 Dec 2022
Learning Graph Algorithms With Recurrent Graph Neural Networks Florian Grötschla Joël Mathys Roger Wattenhofer GNN 55 6 0 09 Dec 2022
Hierarchical Model Selection for Graph Neural Netoworks Yuga Oishi Ken Kaneiwa 59 0 0 01 Dec 2022
Towards Training GNNs using Explanation Directed Message Passing V. Giunchiglia Chirag Varun Shukla Guadalupe Gonzalez Chirag Agarwal 63 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 112 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 Decebal Constantin Mocanu Zhangyang Wang Mykola Pechenizkiy Shiwei Liu GNN 80 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 63 4 0 28 Nov 2022
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution Yushun Dong Song Wang Jing Ma Ninghao Liu Jundong Li 107 22 0 25 Nov 2022
GREAD: Graph Neural Reaction-Diffusion Networks Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho DiffM GNN 91 30 0 25 Nov 2022
End-to-end Wind Turbine Wake Modelling with Deep Graph Representation Learning Siyi Li Mingrui Zhang M. Piggott 84 30 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 125 140 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 67 1 0 20 Nov 2022
Unifying Label-inputted Graph Neural Networks with Deep Equilibrium Models Yi Luo Guiduo Duan Guangchun Luo Aiguo Chen 77 2 0 19 Nov 2022
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! Xue Li Yuanzhi Cheng 94 1 0 19 Nov 2022
Blurring-Sharpening Process Models for Collaborative Filtering Jeongwhan Choi Seoyoung Hong Noseong Park Sung-Bae Cho 80 45 0 17 Nov 2022
Graph Filters for Signal Processing and Machine Learning on Graphs Elvin Isufi Fernando Gama D. Shuman Santiago Segarra GNN 88 72 0 16 Nov 2022
Neighborhood Convolutional Network: A New Paradigm of Graph Neural Networks for Node Classification Jinsong Chen Boyu Li Kun He GNN 58 0 0 15 Nov 2022
Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective Weichen Zhao Chenguang Wang Congying Han Tiande Guo 90 1 0 12 Nov 2022
GENIUS: A Novel Solution for Subteam Replacement with Clustering-based Graph Neural Network Chuxuan Hu Qinghai Zhou Hanghang Tong 72 0 0 08 Nov 2022
Application of Graph Neural Networks and graph descriptors for graph classification J. Adamczyk FaML 88 5 0 07 Nov 2022
Efficient Graph Neural Network Inference at Large Scale Xin-pu Gao Wentao Zhang Yingxia Shao Quoc Viet Hung Nguyen Tengjiao Wang Hongzhi Yin AI4CE GNN 119 8 0 01 Nov 2022
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting Smart Health Ming Dong Ying Li AI4TS 51 14 0 31 Oct 2022
Improving Graph Neural Networks with Learnable Propagation Operators Moshe Eliasof Lars Ruthotto Eran Treister 96 23 0 31 Oct 2022
Search to Pass Messages for Temporal Knowledge Graph Completion Zhen Wang Haotong Du Quanming Yao Xuelong Li 72 12 0 30 Oct 2022
DisenPOI: Disentangling Sequential and Geographical Influence for Point-of-Interest Recommendation Yifang Qin Yifan Wang Fang Sun Wei Ju Xuyang Hou Zhe Wang Jia Cheng Jun Lei Ming Zhang 72 47 0 29 Oct 2022
Clenshaw Graph Neural Networks Y. Guo Zhewei Wei GNN 116 11 0 29 Oct 2022
Beyond Homophily with Graph Echo State Networks Domenico Tortorella Alessio Micheli 63 4 0 27 Oct 2022
Generalized Laplacian Regularized Framelet Graph Neural Networks Zhiqi Shao Andi Han Dai Shi A. Vasnev Junbin Gao 81 0 0 27 Oct 2022
TuneUp: A Simple Improved Training Strategy for Graph Neural Networks Weihua Hu Kaidi Cao Kexin Huang E-Wen Huang Karthik Subbian Kenji Kawaguchi J. Leskovec 83 0 0 26 Oct 2022
Meta-node: A Concise Approach to Effectively Learn Complex Relationships in Heterogeneous Graphs Jiwoong Park Jisu Jeong Kyungmin Kim Hawook Jeong 35 1 0 26 Oct 2022
Binary Graph Convolutional Network with Capacity Exploration Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang GNN 51 5 0 24 Oct 2022
Self-supervised Graph-based Point-of-interest Recommendation Yongqian Li Tong Chen P. Zhang Zi Huang Hongzhi Yin 57 4 0 22 Oct 2022
Graph Few-shot Learning with Task-specific Structures Song Wang Chen Chen Jundong Li 90 24 0 21 Oct 2022
FoSR: First-order spectral rewiring for addressing oversquashing in GNNs Kedar Karhadkar P. Banerjee Guido Montúfar 100 67 0 21 Oct 2022
Overlapping Community Detection using Dynamic Dilated Aggregation in Deep Residual GCN Md Nurul Muttakin Md. Iqbal Hossain Md Saidur Rahman GNN 95 2 0 20 Oct 2022
Joint Multilingual Knowledge Graph Completion and Alignment Vinh Tong Dat Quoc Nguyen Trung Thanh Huynh T. Nguyen Nguyen Quoc Viet Hung Mathias Niepert 51 6 0 17 Oct 2022
MGNNI: Multiscale Graph Neural Networks with Implicit Layers Juncheng Liu Bryan Hooi Kenji Kawaguchi X. Xiao AI4CE 83 22 0 15 Oct 2022
Improving Your Graph Neural Networks: A High-Frequency Booster Jiaqi Sun Lin Zhang Shenglin Zhao Yujiu Yang 70 8 0 15 Oct 2022
Substructure-Atom Cross Attention for Molecular Representation Learning Jiye G. Kim Seungbeom Lee Dongwoo Kim SungSoo Ahn Jaesik Park 39 4 0 15 Oct 2022
HP-GMN: Graph Memory Networks for Heterophilous Graphs Junjie Xu Enyan Dai Xiang Zhang Suhang Wang 81 18 0 15 Oct 2022
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again Ajay Jaiswal Peihao Wang Tianlong Chen Justin F. Rousseau Ying Ding Zhangyang Wang 77 10 0 14 Oct 2022
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning Tiantian He Haicang Zhou Yew-Soon Ong Gao Cong GNN 133 4 0 14 Oct 2022
Revisiting Heterophily For Graph Neural Networks Sitao Luan Chenqing Hua Qincheng Lu Jiaqi Zhu Mingde Zhao Shuyuan Zhang Xiaoming Chang Doina Precup 86 198 0 14 Oct 2022
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan Zirui Liu Peihao Wang Wenqing Zheng Kaixiong Zhou Tianlong Chen Helen Zhou Zhangyang Wang GNN 99 58 0 14 Oct 2022
Deep Learning-Derived Optimal Aviation Strategies to Control Pandemics S. Rizvi Akash Awasthi Maria J. Peláez Zhihui Wang V. Cristini Hien Nguyen P. Dogra 111 1 0 12 Oct 2022
Linkless Link Prediction via Relational Distillation Zhichun Guo William Shiao Shichang Zhang Yozen Liu Nitesh Chawla Neil Shah Tong Zhao 118 43 0 11 Oct 2022
Pooling Strategies for Simplicial Convolutional Networks Domenico Mattia Cinque Claudio Battiloro P. Lorenzo 79 5 0 11 Oct 2022
Hierarchical Graph Transformer with Adaptive Node Sampling Zaixin Zhang Qi Liu Qingyong Hu Cheekong Lee 162 91 0 08 Oct 2022