Representation Learning on Graphs with Jumping Knowledge Networks

9 June 2018

Ken-ichi Kawarabayashi

Stefanie Jegelka

GNN

ArXiv PDF HTML

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

50 / 805 papers shown

Title
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 28 0 0 04 May 2025
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs Zihan Chen Xingbo Fu Yushun Dong Jundong Li Cong Shen FedML 69 0 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas K. Garg 27 0 0 28 Apr 2025
Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Shenzhi Yang Bin Liang An Liu Lin Gui Xingkai Yao Xiaofang Zhang OODD 60 3 0 18 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 49 0 0 18 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Xunkai Li Y. X. Zhu R. Li Guoren Wang Chenghu Zhou FedML 38 0 0 13 Apr 2025
Knowledge Graph Completion with Mixed Geometry Tensor Factorization Viacheslav Yusupov Maxim Rakhuba Evgeny Frolov 34 0 0 03 Apr 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 40 3 0 27 Mar 2025
Towards Quantifying Long-Range Interactions in Graph Machine Learning: a Large Graph Dataset and a Measurement Huidong Liang Haitz Sáez de Ocáriz Borde Baskaran Sripathmanathan Michael M. Bronstein Xiaowen Dong GNN 70 0 0 12 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs Shujie Li Yuxia Wu Chuan Shi Yuan Fang 39 0 0 05 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 44 1 0 03 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 37 0 0 01 Mar 2025
Accurate and Scalable Graph Neural Networks via Message Invariance Zhihao Shi Jie Wang Zhiwei Zhuang Xize Liang Bin Li Feng Wu 47 1 0 27 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 74 3 0 24 Feb 2025
Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling Heng Chang Liang Gu Cheng Hu Zhinan Zhang Hong Zhu Yuhui Xu Yuan Fang Zhen Chen 48 0 0 22 Feb 2025
Category-free Out-of-Distribution Node Detection with Feature Resonance Shenzhi Yang Junbo Zhao Shouqing Yang Yixuan Li Dingyu Yang Xiaofang Zhang Haobo Wang OODD 46 0 0 22 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tonshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 97 2 0 21 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng C. L. P. Chen C. Wang 45 2 0 20 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li J. Hopcroft Kun He 53 0 0 12 Feb 2025
Effects of Random Edge-Dropping on Over-Squashing in Graph Neural Networks Jasraj Singh Keyue Jiang Brooks Paige Laura Toni 65 1 0 11 Feb 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis Y. Zhang Likai Wang Kuan-Jui Su Aiying Zhang Hao Zhu Xiaowen Liu Hui Shen Vince D. Calhoun Yuping Wang H. Deng 58 0 0 03 Feb 2025
Understanding Oversmoothing in GNNs as Consensus in Opinion Dynamics Keqin Wang Yulong Yang Ishan Saha Christine Allen-Blanchette 51 1 0 31 Jan 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 45 0 0 28 Jan 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Xunkai Li Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 31 0 0 21 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal K. Fountoulakis Aukosh Jagannath 78 11 0 10 Jan 2025
Efficient Link Prediction via GNN Layers Induced by Negative Sampling Yuxin Wang Xiannian Hu Quan Gan Xuanjing Huang Xipeng Qiu David Wipf 56 4 0 31 Dec 2024
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning Jaesun Shin Eunjoo Jeon Taewon Cho Namkyeong Cho Youngjune Gwon 34 0 0 23 Dec 2024
Shared Attention-based Autoencoder with Hierarchical Fusion-based Graph Convolution Network for sEEG SOZ Identification Huachao Yan K. Guo Shiwei Song Yihai Dai Xiaoqiang Wei Xiaofen Xing Xiangmin Xu 76 0 0 17 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 80 1 0 10 Dec 2024
Structure-Guided Input Graph for GNNs facing Heterophily Victor M. Tenorio Madeline Navarro Samuel Rey Santiago Segarra Antonio G. Marques GNN 74 0 0 02 Dec 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 110 0 0 28 Nov 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu S. M. I. Simon X. Yang 75 2 0 26 Nov 2024
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph Representation Learning Jiawei E Yinglong Zhang Xuewen Xia Xing Xu 69 0 0 23 Nov 2024
Point Cloud Denoising With Fine-Granularity Dynamic Graph Convolutional Networks Wenqiang Xu Wenrui Dai Duoduo Xue Ziyang Zheng Chenglin Li Junni Zou Hongkai Xiong 3DPC 75 0 0 21 Nov 2024
Graph as a feature: improving node classification with non-neural graph-aware logistic regression Simon Delarue Thomas Bonald Tiphaine Viard 71 0 0 19 Nov 2024
Dual-Frequency Filtering Self-aware Graph Neural Networks for Homophilic and Heterophilic Graphs Yachao Yang Yanfeng Sun Jipeng Guo Junbin Gao Shaofan Wang Fujiao Ju Baocai Yin 32 0 0 18 Nov 2024
Partitioning Message Passing for Graph Fraud Detection Wei Zhuo Zemin Liu Bryan Hooi Bingsheng He Guang Tan Rizal Fathony Jia Chen 118 14 0 16 Nov 2024
ELU-GCN: Effectively Label-Utilizing Graph Convolutional Network Jincheng Huang Yujie Mo Xiaoshuang Shi Lei Feng Xiaofeng Zhu 34 0 0 04 Nov 2024
Reducing Oversmoothing through Informed Weight Initialization in Graph Neural Networks Dimitrios Kelesis Dimitris Fotakis G. Paliouras 26 0 0 31 Oct 2024
Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot Sejin Lee Dongha Kim Min Song 27 0 0 30 Oct 2024
Focus Where It Matters: Graph Selective State Focused Attention Networks Shikhar Vashistha Neetesh Kumar 25 0 0 21 Oct 2024
Deep Equilibrium Algorithmic Reasoning Dobrik Georgiev JJ Wilson Davide Buffelli Pietro Lio' 29 0 0 19 Oct 2024
Learning to Control the Smoothness of Graph Convolutional Network Features Shih-Hsin Wang Justin Baker Cory Hauck Bao Wang 26 0 0 18 Oct 2024
Partially Trained Graph Convolutional Networks Resist Oversmoothing Dimitrios Kelesis Dimitris Fotakis G. Paliouras SSL 16 0 0 17 Oct 2024
DiRW: Path-Aware Digraph Learning for Heterophily Daohan Su Xunkai Li Zhenjun Li Yinping Liao Rong-Hua Li Guoren Wang 33 1 0 14 Oct 2024
BANGS: Game-Theoretic Node Selection for Graph Self-Training Fangxin Wang Kay Liu Sourav Medya Philip S. Yu SSL 21 1 0 12 Oct 2024
IGNN-Solver: A Graph Neural Solver for Implicit Graph Neural Networks Junchao Lin Zenan Ling Zhanbo Feng Feng Zhou Jingwen Xu Feng Zhou Tianqi Hou Zhenyu Liao Robert C. Qiu GNN AI4CE 48 0 0 11 Oct 2024
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective Xueying Bai Yifan Sun Niranjan Balasubramanian CLL 24 0 0 08 Oct 2024
Unitary convolutions for learning on graphs and groups B. Kiani Lukas Fesser Melanie Weber GNN 35 1 0 07 Oct 2024
Cayley Graph Propagation JJ Wilson Maya Bechler-Speicher Petar Veličković 30 5 0 04 Oct 2024