v1v2 (latest)

Representation Learning on Graphs with Jumping Knowledge Networks

9 June 2018

Ken-ichi Kawarabayashi

Stefanie Jegelka

GNN

ArXiv (abs)PDF HTML

Papers citing "Representation Learning on Graphs with Jumping Knowledge Networks"

50 / 933 papers shown

Title
RF-GNN: Random Forest Boosted Graph Neural Network for Social Bot Detection S. Shi Kai Qiao J. Yang Baojie Song Jian Chen Binghai Yan 79 6 0 14 Apr 2023
RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization Yuanhang Shao Tonmoy Dey Nikola Vučković Luke Van Popering Alan Kuhnle 89 0 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 181 163 0 11 Apr 2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie Heng Chang Ziwei Zhang Xin Eric Wang Daixin Wang Qing Cui Rex Ying Wenwu Zhu AAML 67 16 0 09 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 94 60 0 06 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 92 28 0 28 Mar 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 86 7 0 28 Mar 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern Menze GNN 88 7 0 25 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 56 6 0 22 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 101 213 0 20 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 76 4 0 14 Mar 2023
A hybrid deep-learning-metaheuristic framework for bi-level network design problems B. Madadi Gonçalo Homem de Almeida Rodriguez Correia 47 5 0 10 Mar 2023
Ewald-based Long-Range Message Passing for Molecular Graphs Arthur Kosmala Johannes Gasteiger Nicholas Gao Stephan Günnemann 129 30 0 08 Mar 2023
A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang Qi Zhang Tianqi Du Jiansheng Yang Zhouchen Lin Yisen Wang SSL 67 20 0 08 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 62 0 0 02 Mar 2023
Diffusing Graph Attention Daniel Glickman Eran Yahav GNN 78 3 0 01 Mar 2023
Are More Layers Beneficial to Graph Transformers? Haiteng Zhao Shuming Ma Dongdong Zhang Zhi-Hong Deng Furu Wei 67 14 0 01 Mar 2023
Framelet Message Passing Xinliang Liu Bingxin Zhou Chutian Zhang Yu Guang Wang 77 5 0 28 Feb 2023
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs Xin Zheng Miao Zhang C. Chen Qin Zhang Chuan Zhou Shirui Pan GNN 95 31 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 75 1 0 23 Feb 2023
Dual Policy Learning for Aggregation Optimization in Graph Neural Network-based Recommender Systems Heesoo Jung Sangpil Kim Hogun Park 69 5 0 21 Feb 2023
G-Signatures: Global Graph Propagation With Randomized Signatures Bernhard Schafl Lukas Gruber Johannes Brandstetter Sepp Hochreiter 146 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 74 4 0 17 Feb 2023
Search to Capture Long-range Dependency with Stacking GNNs for Graph Classification Lanning Wei Zhiqiang He Huan Zhao Quanming Yao 86 18 0 17 Feb 2023
Understanding Oversquashing in GNNs through the Lens of Effective Resistance Mitchell Black Qingsong Wang A. Nayyeri Yusu Wang 96 70 0 14 Feb 2023
DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks Lefei Zhang Xiaodong Yan Jianshan He Ruopeng Li Wei Chu GNN 66 13 0 10 Feb 2023
Self-Supervised Node Representation Learning via Node-to-Neighbourhood Alignment Wei Dong Dawei Yan Peifeng Wang SSL 157 2 0 09 Feb 2023
On Generalized Degree Fairness in Graph Neural Networks Zemin Liu Trung-Kien Nguyen Yuan Fang 74 28 0 08 Feb 2023
Heterophily-Aware Graph Attention Network Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 68 3 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 150 121 0 06 Feb 2023
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks Shuai Zhang Ming Wang Pin-Yu Chen Sijia Liu Songtao Lu Miaoyuan Liu MLT 108 17 0 06 Feb 2023
Energy-based Out-of-Distribution Detection for Graph Neural Networks Qitian Wu Yiting Chen Chenxiao Yang Junchi Yan OODD 116 68 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 Fan Liu Shuyuan Yang 82 6 0 06 Feb 2023
Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing Yunchong Song Cheng Zhou Xinbing Wang Zhouhan Lin 94 72 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 120 16 0 02 Feb 2023
Simple yet Effective Gradient-Free Graph Convolutional Networks Yulin Zhu Xing Ai Qimai Li Xiao-Ming Wu Kai Zhou 126 0 0 01 Feb 2023
Simplifying Subgraph Representation Learning for Scalable Link Prediction Paul Louis Shweta Ann Jacob Amirali Salehi-Abari 84 8 0 29 Jan 2023
WL meet VC Christopher Morris Floris Geerts Jan Tönshoff Martin Grohe 114 27 0 26 Jan 2023
Visiting Distant Neighbors in Graph Convolutional Networks Ali Hashemi H. Makse GNN 125 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 53 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 69 0 0 19 Jan 2023
Adaptive Depth Graph Attention Networks Jingbo Zhou Yixuan Du Ruqiong Zhang Rui Zhang GNN 56 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 74 14 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 70 19 0 07 Jan 2023
Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings Yeskendir Koishekenov 49 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 87 4 0 31 Dec 2022
Multi-duplicated Characterization of Graph Structures using Information Gain Ratio for Graph Neural Networks Yuga Oishi Ken Kaneiwa 74 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 115 31 0 21 Dec 2022
A Non-Asymptotic Analysis of Oversmoothing in Graph Neural Networks Xinyi Wu Zhengdao Chen W. Wang Ali Jadbabaie 111 45 0 21 Dec 2022
Influence-Based Mini-Batching for Graph Neural Networks Johannes Gasteiger Chao Qian Stephan Günnemann GNN 73 15 0 18 Dec 2022