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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
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 108 3 0 06 Mar 2024
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Robust Graph Structure Learning under Heterophily Xuanting Xie Zhao Kang Wenyu Chen 88 4 0 06 Mar 2024
Self-Attention Empowered Graph Convolutional Network for Structure Learning and Node Embedding Mengying Jiang Guizhong Liu Yuanchao Su Xinliang Wu GNN SSL 133 3 0 06 Mar 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 134 0 0 23 Feb 2024
Representation Learning for Frequent Subgraph Mining Rex Ying Tianyu Fu Andrew Wang Jiaxuan You Yu Wang J. Leskovec GNN 82 3 0 22 Feb 2024
GRAPHGINI: Fostering Individual and Group Fairness in Graph Neural Networks Anuj Kumar Sirohi Anjali Gupta Sayan Ranu Sandeep Kumar Amitabha Bagchi 60 2 0 20 Feb 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning Zhihao Wen Jie Zhang Yuan Fang MoE 75 3 0 19 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 95 6 0 16 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh Chawla AI4CE 65 4 0 15 Feb 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency Xuexin Chen Ruichu Cai Kaitao Zheng Zhifan Jiang Zhengting Huang Zhifeng Hao Zijian Li 73 2 0 14 Feb 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering Jiafeng Xia Dongsheng Li Hansu Gu Tun Lu Peng Zhang Li Shang Ning Gu 65 2 0 13 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction Minsang Kim Seung Baek 84 1 0 13 Feb 2024
Rethinking Node-wise Propagation for Large-scale Graph Learning Miao Hu Jingyuan Ma Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 103 13 0 09 Feb 2024
Towards Generalizability of Multi-Agent Reinforcement Learning in Graphs with Recurrent Message Passing Jannis Weil Zhenghua Bao Osama Abboud Tobias Meuser AI4CE 80 1 0 07 Feb 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 107 6 0 06 Feb 2024
Key-Graph Transformer for Image Restoration Bin Ren Yawei Li Christos Sakaridis Rakesh Ranjan Mengyuan Liu Rita Cucchiara Luc Van Gool N. Sebe 134 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 76 5 0 03 Feb 2024
TEDDY: Trimming Edges with Degree-based Discrimination strategY Hyunjin Seo Jihun Yun Eunho Yang 77 1 0 02 Feb 2024
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 76 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 80 4 0 26 Jan 2024
LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning Miao Hu Meihao Liao Zhengyu Wu Daohan Su Wentao Zhang Ronghua Li Guoren Wang AI4CE 89 8 0 22 Jan 2024
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity Miao Hu Zhengyu Wu Wentao Zhang Henan Sun Ronghua Li Guoren Wang FedML 103 11 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 255 7 0 18 Jan 2024
Graph Q-Learning for Combinatorial Optimization Victoria M. Dax Jiachen Li Kevin Leahy Mykel J. Kochenderfer AI4CE GNN 60 2 0 11 Jan 2024
View-based Explanations for Graph Neural Networks Tingyang Chen Dazhuo Qiu Yinghui Wu Arijit Khan Xiangyu Ke Yunjun Gao 94 10 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 55 5 0 03 Jan 2024
A quatum inspired neural network for geometric modeling Weitao Du Shengchao Liu Xuecang Zhang AI4CE 79 0 0 03 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 216 10 0 27 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 99 14 0 20 Dec 2023
Chasing Fairness in Graphs: A GNN Architecture Perspective Zhimeng Jiang Xiaotian Han Chao Fan Zirui Liu Na Zou Ali Mostafavi Helen Zhou 102 6 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 Leilei Gan OOD 95 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 129 6 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 37 0 0 17 Dec 2023
scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data Rui Yang Wenrui Dai Chenglin Li Junni Zou Dapeng Wu Hongkai Xiong 48 2 0 16 Dec 2023
Multi-agent Reinforcement Learning: A Comprehensive Survey Dom Huh Prasant Mohapatra AI4CE 80 10 0 15 Dec 2023
Heterogeneous Graph Neural Architecture Search with GPT-4 Haoyuan Dong Yang Gao Haishuai Wang Hongxi Yang Peng Zhang 64 6 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 109 9 0 13 Dec 2023
Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-smoothness in Deep GNNs Jin Li Qirong Zhang Shuling Xu Xinlong Chen Longkun Guo Yanglan Fu 63 0 0 13 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 84 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 75 7 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 110 5 0 07 Dec 2023
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification Henan Sun Miao Hu Zhengyu Wu Daohan Su Ronghua Li Guoren Wang 82 12 0 07 Dec 2023
On the Trade-Off between Stability and Representational Capacity in Graph Neural Networks Zhan Gao Amanda Prorok Elvin Isufi 81 1 0 04 Dec 2023
A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data Jungwon Choi Seongho Keum Eunggu Yun Byung-Hoon Kim Juho Lee 72 5 0 04 Dec 2023
The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks Moritz Lampert Ingo Scholtes GNN SSL 53 3 0 04 Dec 2023
BHGNN-RT: Network embedding for directed heterogeneous graphs Xiyang Sun F. Komaki 77 1 0 24 Nov 2023
Exploring Graph Classification Techniques Under Low Data Constraints: A Comprehensive Study Kush Kothari Bhavya Mehta Reshmika Nambiar S. Shrawne 68 0 0 21 Nov 2023
Stoichiometry Representation Learning with Polymorphic Crystal Structures Namkyeong Lee Heewoong Noh Gyoung S. Na Tianfan Fu Jimeng Sun Chanyoung Park 52 0 0 17 Nov 2023
Classification of developmental and brain disorders via graph convolutional aggregation Ibrahim Salim A. B. Hamza MedIm 43 14 0 13 Nov 2023