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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Improving Expressivity of GNNs with Subgraph-specific Factor Embedded Normalization Kaixuan Chen Shunyu Liu Tongtian Zhu Tongya Zheng Haofei Zhang Zunlei Feng Jingwen Ye Mingli Song 32 14 0 31 May 2023
Graph Entropy Minimization for Semi-supervised Node Classification Yi Luo Guangchun Luo Ke Qin Aiguo Chen 30 0 0 31 May 2023
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Self-attention Dual Embedding for Graphs with Heterophily Yurui Lai Taiyan Zhang Rui Fan GNN 31 0 0 28 May 2023
Confidence-Based Feature Imputation for Graphs with Partially Known Features Daeho Um Jiwoong Park Seulki Park Jin Young Choi DiffM 14 14 0 26 May 2023
Demystifying Oversmoothing in Attention-Based Graph Neural Networks Xinyi Wu A. Ajorlou Zihui Wu Ali Jadbabaie 13 34 0 25 May 2023
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Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks Peng Xu Lin Zhang Xuanzhou Liu Jiaqi Sun Yue Zhao Haiqing Yang Bei Yu GNN 21 8 0 23 May 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 33 23 0 23 May 2023
ProgSG: Cross-Modality Representation Learning for Programs in Electronic Design Automation Yunsheng Bai Atefeh Sohrabizadeh Zongyue Qin Ziniu Hu Yizhou Sun Jason Cong 18 1 0 18 May 2023
Edge Directionality Improves Learning on Heterophilic Graphs Emanuele Rossi Bertrand Charpentier Francesco Di Giovanni Fabrizio Frasca Stephan Günnemann Michael M. Bronstein 22 56 0 17 May 2023
Survey of Malware Analysis through Control Flow Graph using Machine Learning Shaswata Mitra Stephen Torri Sudip Mittal 30 5 0 15 May 2023
Addressing Heterophily in Node Classification with Graph Echo State Networks A. Micheli Domenico Tortorella 11 8 0 14 May 2023
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Zoo Guide to Network Embedding Anthony Baptista Rubén J. Sánchez-García A. Baudot Ginestra Bianconi GNN 8 6 0 05 May 2023
Musical Voice Separation as Link Prediction: Modeling a Musical Perception Task as a Multi-Trajectory Tracking Problem E. Karystinaios Francesco Foscarin Gerhard Widmer 24 8 0 28 Apr 2023
Improving Knowledge Graph Entity Alignment with Graph Augmentation Feng Xie Xiangji Zeng Bin Zhou Yusong Tan 21 10 0 28 Apr 2023
Decouple Graph Neural Networks: Train Multiple Simple GNNs Simultaneously Instead of One Hongyuan Zhang Yanan Zhu Xuelong Li 19 9 0 20 Apr 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees Sina Sajadmanesh D. Gática-Pérez 17 15 0 18 Apr 2023
Stochastic Subgraph Neighborhood Pooling for Subgraph Classification Shweta Ann Jacob Paul Louis Amirali Salehi-Abari GNN 13 4 0 17 Apr 2023
Multi-View Graph Representation Learning Beyond Homophily Bei Lin You Li Ning Gui Zhuopeng Xu Zhiwu Yu SSL 20 6 0 15 Apr 2023
AGNN: Alternating Graph-Regularized Neural Networks to Alleviate Over-Smoothing Zhaoliang Chen Zhihao Wu Zhe-Hui Lin Shiping Wang Claudia Plant Wenzhong Guo 27 18 0 14 Apr 2023
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RELS-DQN: A Robust and Efficient Local Search Framework for Combinatorial Optimization Yuanhang Shao Tonmoy Dey Nikola Vučković Luke Van Popering Alan Kuhnle 40 0 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 31 141 0 11 Apr 2023
Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie Heng Chang Ziwei Zhang Xin Eric Wang Daixin Wang Zhiqiang Zhang Rex Ying Wenwu Zhu AAML 20 16 0 09 Apr 2023
GIF: A General Graph Unlearning Strategy via Influence Function Jiancan Wu Yi Yang Yuchun Qian Yongduo Sui Xiang Wang Xiangnan He MU 28 49 0 06 Apr 2023
A Survey on Malware Detection with Graph Representation Learning Tristan Bilot Nour El Madhoun Khaldoun Al Agha Anis Zouaoui AAML 13 20 0 28 Mar 2023
Item Graph Convolution Collaborative Filtering for Inductive Recommendations Edoardo DÁmico Khalil Muhammad E. Tragos Barry Smyth N. Hurley A. Lawlor GNN 11 6 0 28 Mar 2023
Link Prediction for Flow-Driven Spatial Networks Bastian Wittmann Johannes C. Paetzold Chinmay Prabhakar Daniel Rueckert Bjoern H. Menze GNN 24 7 0 25 Mar 2023
A Comparison of Graph Neural Networks for Malware Classification Vrinda Malhotra Katerina Potika Mark Stamp 22 3 0 22 Mar 2023
A Survey on Oversmoothing in Graph Neural Networks T. Konstantin Rusch Michael M. Bronstein Siddhartha Mishra 16 185 0 20 Mar 2023
GANN: Graph Alignment Neural Network for Semi-Supervised Learning Linxuan Song Wenxuan Tu Sihang Zhou Xinwang Liu En Zhu 22 4 0 14 Mar 2023
A hybrid deep-learning-metaheuristic framework for bi-level network design problems B. Madadi Gonçalo Homem de Almeida Rodriguez Correia 6 4 0 10 Mar 2023
Ewald-based Long-Range Message Passing for Molecular Graphs Arthur Kosmala Johannes Gasteiger Nicholas Gao Stephan Günnemann 66 25 0 08 Mar 2023
A Message Passing Perspective on Learning Dynamics of Contrastive Learning Yifei Wang Qi Zhang Tianqi Du Jiansheng Yang Zhouchen Lin Yisen Wang SSL 24 18 0 08 Mar 2023
Steering Graph Neural Networks with Pinning Control Acong Zhang P. Li Guanrong Chen LLMSV 19 0 0 02 Mar 2023