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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Valid Conformal Prediction for Dynamic GNNs Ed Davis Ian Gallagher Daniel J. Lawson Patrick Rubin-Delanchy AI4CE 32 3 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 29 0 0 28 May 2024
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Acceleration Algorithms in GNNs: A Survey Lu Ma Zeang Sheng Xunkai Li Xin Gao Zhezheng Hao Ling Yang Wentao Zhang Bin Cui GNN 34 3 0 07 May 2024
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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 41 8 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 39 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 18 4 0 15 Apr 2024
Solving the Tree Containment Problem Using Graph Neural Networks A. Dushatskiy Esther Julien Leen Stougie L. Iersel 32 0 0 15 Apr 2024
Neighbour-level Message Interaction Encoding for Improved Representation Learning on Graphs Haimin Zhang Min Xu GNN 20 0 0 15 Apr 2024
RandAlign: A Parameter-Free Method for Regularizing Graph Convolutional Networks Haimin Zhang Min Xu 47 2 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 32 4 0 04 Apr 2024
Graph Neural Aggregation-diffusion with Metastability Kaiyuan Cui Xinyan Wang Zicheng Zhang Weichen Zhao 31 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 40 4 0 27 Mar 2024
EL-MLFFs: Ensemble Learning of Machine Leaning Force Fields Bangchen Yin Yue Yin Yuda W. Tang Hai Xiao 14 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 49 11 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 28 19 0 24 Mar 2024
Simple Graph Condensation Zhenbang Xiao Yu Wang Shunyu Liu Huiqiong Wang Mingli Song Tongya Zheng DD 61 6 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 33 0 0 19 Mar 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 70 1 0 19 Mar 2024
Graph Unitary Message Passing Haiquan Qiu Yatao Bian Quanming Yao 29 2 0 17 Mar 2024
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Graph Unlearning with Efficient Partial Retraining Jiahao Zhang Lin Wang Shijie Wang Wenqi Fan MU 35 7 0 12 Mar 2024
Revisiting Edge Perturbation for Graph Neural Network in Graph Data Augmentation and Attack Xin Liu Yuxiang Zhang Meng Wu Mingyu Yan Kun He Wei Yan Shirui Pan Xiaochun Ye Dongrui Fan AAML 25 2 0 10 Mar 2024
Almost Surely Asymptotically Constant Graph Neural Networks Sam Adam-Day Michael Benedikt .Ismail .Ilkan Ceylan Ben Finkelshtein GNN 63 2 0 06 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 32 5 0 06 Mar 2024
Robust Graph Structure Learning under Heterophily Xuanting Xie Zhao Kang Wenyu Chen 30 3 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 32 2 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 38 0 0 23 Feb 2024
Representation Learning for Frequent Subgraph Mining Rex Ying Tianyu Fu Andrew Wang Jiaxuan You Yu Wang J. Leskovec GNN 24 1 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 32 1 0 20 Feb 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning Zhihao Wen Jie Zhang Yuan Fang MoE 34 3 0 19 Feb 2024
Subgraph-level Universal Prompt Tuning Junhyun Lee Wooseong Yang Jaewoo Kang VLM 14 5 0 16 Feb 2024
Node Duplication Improves Cold-start Link Prediction Zhichun Guo Tong Zhao Yozen Liu Kaiwen Dong William Shiao Neil Shah Nitesh V. Chawla AI4CE 18 3 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 19 2 0 14 Feb 2024
Frequency-aware Graph Signal Processing for Collaborative Filtering Jiafeng Xia Dongsheng Li Hansu Gu T. Lu Peng Zhang Li Shang Ning Gu 8 1 0 13 Feb 2024
Hierarchical Position Embedding of Graphs with Landmarks and Clustering for Link Prediction Minsang Kim Seung Baek 19 1 0 13 Feb 2024