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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
Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems Md Abrar Jahin Adiba Abid M. F. Mridha 26 0 0 16 Jun 2025
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Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering Yankai Chen Yue Que Xinni Zhang Chen Ma Irwin King 69 0 0 03 Jun 2025
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block Dooho Lee Myeong Kong Sagad Hamid Cheonwoo Lee Jaemin Yoo 42 0 0 27 May 2025
'Hello, World!': Making GNNs Talk with LLMs Sunwoo Kim Soo Yong Lee Jaemin Yoo Kijung Shin AI4CE 43 0 0 27 May 2025
Language Model-Enhanced Message Passing for Heterophilic Graph Learning Wenjun Wang Dawei Cheng 47 0 0 26 May 2025
Graph Wave Networks Juwei Yue Haikuo Li Jiawei Sheng Yihan Guo Xinghua Zhang Chuan Zhou Tingwen Liu Li Guo 244 1 0 26 May 2025
DAM-GT: Dual Positional Encoding-Based Attention Masking Graph Transformer for Node Classification Chenyang Li Jinsong Chen John E. Hopcroft Kun He 47 0 0 23 May 2025
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning Zihan Chen Song Wang Zhen Tan Jundong Li Cong Shen OffRL 238 1 0 22 May 2025
Oversmoothing, Oversquashing, Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning Adrian Arnaiz-Rodriguez Federico Errica AI4CE 87 1 0 21 May 2025
AH-UGC: Adaptive and Heterogeneous-Universal Graph Coarsening Mohit Kataria Shreyash Bhilwade Sandeep Kumar Jayadeva 66 0 0 18 May 2025
What Can We Learn From MIMO Graph Convolutions? Andreas Roth Thomas Liebig 112 0 0 16 May 2025
Wide & Deep Learning for Node Classification Yancheng Chen Wenguo Yang Zhipeng Jiang GNN 110 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 290 0 0 29 Apr 2025
Heterophily-informed Message Passing Haishan Wang Arno Solin Vikas Garg 128 0 0 28 Apr 2025
Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors Jielong Lu Zhihao Wu Zhiling Cai Yueyang Pi Shiping Wang GNN 177 0 0 18 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 198 4 0 18 Apr 2025
Federated Prototype Graph Learning Zhengyu Wu Miao Hu Yinlin Zhu Rong-Hua Li Guoren Wang Chenghu Zhou FedML 121 0 0 13 Apr 2025
Knowledge Graph Completion with Mixed Geometry Tensor Factorization Viacheslav Yusupov Maxim Rakhuba Evgeny Frolov 140 0 0 03 Apr 2025
Improvement Graph Convolution Collaborative Filtering with Weighted addition input Tin T. Tran V. Snasel GNN 159 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 131 1 0 12 Mar 2025
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs Shujie Li Yuxia Wu Chuan Shi Yuan Fang 86 0 0 05 Mar 2025
Effective High-order Graph Representation Learning for Credit Card Fraud Detection Yao Zou Dawei Cheng 132 1 0 03 Mar 2025
Channel-Attentive Graph Neural Networks Tuğrul Hasan Karabulut İnci M. Baytaş 112 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 139 1 0 27 Feb 2025
Graph Neural Diffusion Networks for Semi-supervised Learning Wei Ye Zexi Huang Yunqi Hong Ambuj K. Singh GNN 220 3 0 24 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 83 0 0 22 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 101 0 0 22 Feb 2025
SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection Tanzim Mahfuz Pravin Gaikwad Tasneem Suha Swarup Bhunia Prabuddha Chakraborty 64 0 0 21 Feb 2025
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks Maya Bechler-Speicher Ben Finkelshtein Fabrizio Frasca Luis Muller Jan Tönshoff ... Michael M. Bronstein Mathias Niepert Bryan Perozzi Mikhail Galkin Christopher Morris OOD 243 7 0 21 Feb 2025
Uncertainty-Aware Graph Structure Learning Shen Han Zhiyao Zhou Jiawei Chen Zhezheng Hao Sheng Zhou Gang Wang Yan Feng Chong Chen C. Wang 169 2 0 20 Feb 2025
A Signed Graph Approach to Understanding and Mitigating Oversmoothing in GNNs Jiaqi Wang Xinyi Wu James Cheng Yifei Wang 28 0 0 17 Feb 2025
Rethinking Tokenized Graph Transformers for Node Classification Jinsong Chen Chenyang Li Gaichao Li John E. Hopcroft Kun He 142 1 0 12 Feb 2025
RelGNN: Composite Message Passing for Relational Deep Learning Tianlang Chen Charilaos I. Kanatsoulis Jure Leskovec GNN AI4CE 83 4 0 10 Feb 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis Yanzhe Zhang Likai Wang Kuan-Jui Su Aiying Zhang Hao Zhu Xiaowen Liu Hui Shen Vince D. Calhoun Yuping Wang H. Deng 105 0 0 03 Feb 2025
Personalized Layer Selection for Graph Neural Networks Kartik Sharma Vineeth Rakesh Mohan Yingtong Dou Srijan Kumar Mahashweta Das 130 0 0 24 Jan 2025
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Miao Hu Daohan Su Zhengyu Wu Guang Zeng Hongchao Qin Rong-Hua Li Guoren Wang AI4CE 121 0 0 21 Jan 2025
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 197 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 152 6 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 113 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 115 0 0 17 Dec 2024
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks Biswadeep Chakraborty H. Kumar Saibal Mukhopadhyay 142 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 127 1 0 02 Dec 2024
Scale Invariance of Graph Neural Networks Qin Jiang Chengjia Wang Michael Lones Wei Pang GNN 170 0 0 28 Nov 2024
Knowledge-aware Evolutionary Graph Neural Architecture Search Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Xu Liu Steve Yang 152 4 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 111 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 114 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 138 0 0 19 Nov 2024