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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
A Scalable and Effective Alternative to Graph Transformers Kaan Sancak Zhigang Hua Jin Fang Yan Xie Andrey Malevich Bo Long M. F. Balin Ümit V. Çatalyürek 90 1 0 17 Jun 2024
Scalable Expressiveness through Preprocessed Graph Perturbations Danial Saber Amirali Salehi-Abari 71 1 0 17 Jun 2024
Graph Neural Reaction Diffusion Models Moshe Eliasof Eldad Haber Eran Treister DiffM AI4CE 93 3 0 16 Jun 2024
Global-Local Graph Neural Networks for Node-Classification Moshe Eliasof Eran Treister 151 3 0 16 Jun 2024
Towards Adaptive Neighborhood for Advancing Temporal Interaction Graph Modeling Siwei Zhang Xi Chen Yun Xiong Xixi Wu Yao Zhang Yongrui Fu Yinglong Zhao Jiawei Zhang 137 8 0 14 Jun 2024
Benchmarking Spectral Graph Neural Networks: A Comprehensive Study on Effectiveness and Efficiency Ningyi Liao Haoyu Liu Zulun Zhu Siqiang Luo L. Lakshmanan 108 2 0 14 Jun 2024
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis Zongyue Qin Yunsheng Bai Atefeh Sohrabizadeh Zijian Ding Ziniu Hu Yizhou Sun Jason Cong 84 2 0 13 Jun 2024
Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification Yuankai Luo Lei Shi Xiao-Ming Wu 92 31 0 13 Jun 2024
Motif-driven Subgraph Structure Learning for Graph Classification Zhiyao Zhou Sheng Zhou Bochao Mao Jiawei Chen Qingyun Sun Yan Feng Chun-Yen Chen Can Wang 99 1 0 13 Jun 2024
Hierarchical Compression of Text-Rich Graphs via Large Language Models Shichang Zhang Da Zheng Jiani Zhang Qi Zhu Xiang Song Soji Adeshina Christos Faloutsos George Karypis Yizhou Sun VLM 92 1 0 13 Jun 2024
On the Hölder Stability of Multiset and Graph Neural Networks Yair Davidson Nadav Dym 179 2 0 11 Jun 2024
Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks Dongrui Fan Xiaoyang Lin Renchi Yang Hongtao Wang 126 2 0 08 Jun 2024
GEFL: Extended Filtration Learning for Graph Classification Simon Zhang Soham Mukherjee T. Dey 147 11 0 04 Jun 2024
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion Qinggang Zhang Keyu Duan Junnan Dong Pai Zheng Xiao Huang 100 3 0 03 Jun 2024
RGFN: Synthesizable Molecular Generation Using GFlowNets Michal Koziarski Andrei Rekesh Dmytro Shevchuk A. V. D. Sloot Piotr Gaiñski Yoshua Bengio Cheng-Hao Liu Mike Tyers Robert A. Batey 86 16 0 01 Jun 2024
GATE: How to Keep Out Intrusive Neighbors Nimrah Mustafa R. Burkholz 121 1 0 01 Jun 2024
Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs Langzhang Liang Sunwoo Kim Kijung Shin Zenglin Xu Shirui Pan Yuan Qi 115 8 0 31 May 2024
Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning Yuhao Wu Jiangchao Yao Bo Han Lina Yao Tongliang Liu 121 3 0 30 May 2024
Automatic Graph Topology-Aware Transformer Chao Wang Jiaxuan Zhao Lingling Li Licheng Jiao Fang Liu Shuyuan Yang ViT 139 2 0 30 May 2024
Spatio-Spectral Graph Neural Networks Simon Geisler Arthur Kosmala Daniel Herbst Stephan Günnemann 121 9 0 29 May 2024
Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 239 4 0 29 May 2024
Unleashing the Potential of Text-attributed Graphs: Automatic Relation Decomposition via Large Language Models Hyunjin Seo Taewon Kim J. Yang Eunho Yang 136 0 0 28 May 2024
Revisiting the Message Passing in Heterophilous Graph Neural Networks Zhuonan Zheng Yuanchen Bei Sheng Zhou Yao Ma Ming Gu Hongjia Xu Chengyu Lai Jiawei Chen Jiajun Bu 132 1 0 28 May 2024
Spectral Greedy Coresets for Graph Neural Networks Mucong Ding Yinhan He Jundong Li Furong Huang 89 3 0 27 May 2024
Probabilistic Graph Rewiring via Virtual Nodes Chendi Qian Andrei Manolache Christopher Morris Mathias Niepert AI4CE 118 4 0 27 May 2024
DPHGNN: A Dual Perspective Hypergraph Neural Networks Siddhant Saxena Shounak Ghatak Raghu Kolla Debashis Mukherjee Tanmoy Chakraborty 86 2 0 26 May 2024
AGS-GNN: Attribute-guided Sampling for Graph Neural Networks Siddhartha Shankar Das S. Ferdous M. Halappanavar Edoardo Serra A. Pothen 91 2 0 24 May 2024
LOGIN: A Large Language Model Consulted Graph Neural Network Training Framework Yiran Qiao Xiang Ao Yang Liu Jiarong Xu Xiaoqian Sun Qing He 98 4 0 22 May 2024
ENADPool: The Edge-Node Attention-based Differentiable Pooling for Graph Neural Networks Zhehan Zhao Lu Bai Lixin Cui Ming Li Yue Wang Lixiang Xu Edwin R. Hancock 95 3 0 16 May 2024
Relating-Up: Advancing Graph Neural Networks through Inter-Graph Relationships Qi Zou Na Yu Daoliang Zhang Wei Zhang Rui Gao AI4CE 83 1 0 07 May 2024
ATNPA: A Unified View of Oversmoothing Alleviation in Graph Neural Networks Yufei Jin Xingquan Zhu 104 2 0 02 May 2024
Unleashing the Potential of Fractional Calculus in Graph Neural Networks with FROND Qiyu Kang Kai Zhao Qinxu Ding Feng Ji Xuhao Li Wenfei Liang Yang Song Wee Peng Tay 156 10 0 26 Apr 2024
Rethinking the Graph Polynomial Filter via Positive and Negative Coupling Analysis Haodong Wen Bodong Du Ruixun Liu Deyu Meng Xiangyong Cao 128 0 0 16 Apr 2024
Towards DNA-Encoded Library Generation with GFlowNets Michal Koziarski Mohammed Abukalam Vedant Shah Louis Vaillancourt Doris Alexandra Schuetz Moksh Jain A. V. D. Sloot Mathieu Bourgey A. Marinier Yoshua Bengio 80 4 0 15 Apr 2024
Solving the Tree Containment Problem Using Graph Neural Networks A. Dushatskiy Esther Julien Leen Stougie L. Iersel 90 0 0 15 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 87 0 0 15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 103 3 0 15 Apr 2024
Theoretical and Empirical Insights into the Origins of Degree Bias in Graph Neural Networks Arjun Subramonian Jian Kang Yizhou Sun AI4CE 87 4 0 04 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 102 2 0 29 Mar 2024
How Does Message Passing Improve Collaborative Filtering? Mingxuan Ju William Shiao Zhichun Guo Yanfang Ye Yozen Liu Neil Shah Tong Zhao 84 5 0 27 Mar 2024
EL-MLFFs: Ensemble Learning of Machine Leaning Force Fields Bangchen Yin Yue Yin Yuda W. Tang Hai Xiao 41 0 0 26 Mar 2024
Segment Anything Model for Road Network Graph Extraction Congrui Hetang Haoru Xue Cindy X. Le Tianwei Yue Wenping Wang Yihui He 141 17 0 24 Mar 2024
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections Dongqi Fu Zhigang Hua Yan Xie Jin Fang Si Zhang Kaan Sancak Hao Wu Andrey Malevich Jingrui He Bo Long 122 25 0 24 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 145 8 0 22 Mar 2024
Graph Neural Network-based Multi-agent Reinforcement Learning for Resilient Distributed Coordination of Multi-Robot Systems Anthony Goeckner Yueyuan Sui Nicolas Martinet Xinliang Li Qi Zhu 90 0 0 19 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 154 2 0 19 Mar 2024
Graph Unitary Message Passing Haiquan Qiu Yatao Bian Quanming Yao 83 2 0 17 Mar 2024
Robust Subgraph Learning by Monitoring Early Training Representations Sepideh Neshatfar Salimeh Yasaei Sekeh AAML 142 0 0 14 Mar 2024
Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 86 13 0 12 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Yurui Lai Kun He Wei Yan Shirui Pan Xiaochun Ye Xiaochun Ye AAML 94 2 0 10 Mar 2024