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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Rethinking Node-wise Propagation for Large-scale Graph Learning Xunkai Li Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 28 11 0 09 Feb 2024
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Key-Graph Transformer for Image Restoration Bin Ren Yawei Li Jingyun Liang Rakesh Ranjan Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 40 1 0 04 Feb 2024
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks D. M. Nguyen Nina Lukashina Tai Nguyen An T. Le TrungTin Nguyen Nhat Ho Jan Peters Daniel Sonntag Viktor Zaverkin Mathias Niepert 31 5 0 03 Feb 2024
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DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 23 2 0 28 Jan 2024
Cross-Space Adaptive Filter: Integrating Graph Topology and Node Attributes for Alleviating the Over-smoothing Problem Chen Huang Haoyang Li Yifan Zhang Wenqiang Lei Jiancheng Lv 25 3 0 26 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning Xunkai Li Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 33 7 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Xunkai Li Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 36 7 0 22 Jan 2024
Disentangled Condensation for Large-scale Graphs Zhenbang Xiao Shunyu Liu Yu Wang Tongya Zheng Mingli Song Mingli Song Tongya Zheng DD 76 6 0 18 Jan 2024
Graph Q-Learning for Combinatorial Optimization Victoria M. Dax Jiachen Li Kevin Leahy Mykel J. Kochenderfer AI4CE GNN 27 2 0 11 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 33 9 0 04 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction Zinuo You Zijian Shi Hongbo Bo John Cartlidge Li Zhang Yan Ge AIFin DiffM 18 2 0 03 Jan 2024
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Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 50 7 0 27 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 32 11 0 20 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Xia Hu 34 4 0 19 Dec 2023
Learning to Reweight for Graph Neural Network Zhengyu Chen Teng Xiao Kun Kuang Zheqi Lv Min Zhang Jinluan Yang Chengqiang Lu Hongxia Yang Fei Wu OOD 32 1 0 19 Dec 2023
Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems Zhangchi Qiu Ye Tao Shirui Pan Alan Wee-Chung Liew 23 5 0 18 Dec 2023
p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models Haoyuan Wu Xinyun Zhang Peng Xu Peiyu Liao Xufeng Yao Bei Yu VLM 19 0 0 17 Dec 2023
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Heterogeneous Graph Neural Architecture Search with GPT-4 Haoyuan Dong Yang Gao Haishuai Wang Hongxi Yang Peng Zhang 25 5 0 14 Dec 2023
ERASE: Error-Resilient Representation Learning on Graphs for Label Noise Tolerance Ling-Hao Chen Yuanshuo Zhang Taohua Huang Liangcai Su Zeyi Lin Xi Xiao Xiaobo Xia Tongliang Liu NoLa 28 9 0 13 Dec 2023
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HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 28 0 0 11 Dec 2023
Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images Baowei Li Zhenyu Liu Lizhi Shao Bensheng Qiu Hong Bu Jie Tian OOD MedIm 32 6 0 11 Dec 2023
Graph Convolutions Enrich the Self-Attention in Transformers! Jeongwhan Choi Hyowon Wi Jayoung Kim Yehjin Shin Kookjin Lee Nathaniel Trask Noseong Park 25 4 0 07 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Xunkai Li Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 32 12 0 07 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 30 1 0 04 Dec 2023
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The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks Moritz Lampert Ingo Scholtes GNN SSL 23 4 0 04 Dec 2023
BHGNN-RT: Network embedding for directed heterogeneous graphs Xiyang Sun F. Komaki 29 1 0 24 Nov 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 18 0 0 21 Nov 2023
Classification of developmental and brain disorders via graph convolutional aggregation Ibrahim Salim A. B. Hamza MedIm 11 11 0 13 Nov 2023
ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering Zecheng Yin 10 0 0 13 Nov 2023
Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges Dai Shi Andi Han Lequan Lin Yi Guo Junbin Gao 47 12 0 13 Nov 2023
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation Jialin Chen Yuelin Wang Cristian Bodnar Rex Ying Pietro Lió Yu Guang Wang 27 10 0 09 Nov 2023
Identifying Semantic Component for Robust Molecular Property Prediction Zijian Li Zunhong Xu Ruichu Cai Zhenhui Yang Yuguang Yan Zhifeng Hao Guan-Hong Chen Kun Zhang 21 9 0 08 Nov 2023
Prioritized Propagation in Graph Neural Networks Yao Cheng Minjie Chen Xiang Li Caihua Shan Ming Gao AI4CE 25 0 0 06 Nov 2023
Architecture Matters: Uncovering Implicit Mechanisms in Graph Contrastive Learning Xiaojun Guo Yifei Wang Zeming Wei Yisen Wang 31 11 0 05 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models Zeyu Song Ehsanul Kabir Shagufta Mehnaz 19 0 0 03 Nov 2023
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Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders Qianren Mao Shaobo Zhao Jiarui Li Xiaolei Gu Shizhu He Bo Li Jianxin Li SSL 14 2 0 29 Oct 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 32 7 0 20 Oct 2023
Graph AI in Medicine Ruth Johnson Michelle M. Li Ayush Noori Owen Queen Marinka Zitnik 21 3 0 20 Oct 2023
SignGT: Signed Attention-based Graph Transformer for Graph Representation Learning Jinsong Chen Gaichao Li J. Hopcroft Kun He SLR 13 5 0 17 Oct 2023
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Node classification in networks via simplicial interactions Eunho Koo Tongseok Lim 20 0 0 16 Oct 2023