Edge Representation Learning with Hypergraphs

30 June 2021

Papers citing "Edge Representation Learning with Hypergraphs"

34 / 34 papers shown

Title
Graph-based Approaches and Functionalities in Retrieval-Augmented Generation: A Comprehensive Survey Zulun Zhu Tiancheng Huang Kai Wang Junda Ye X. Chen Siqiang Luo 3DV 41 0 0 08 Apr 2025
Self-Explaining Hypergraph Neural Networks for Diagnosis Prediction Leisheng Yu Yanxiao Cai Minxing Zhang Xia Hu FAtt 115 0 0 15 Feb 2025
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling Emir Ceyani Han Xie Baturalp Buyukates Carl Yang Salman Avestimehr FedML 95 0 0 22 Jan 2025
Graph Neural Networks for Edge Signals: Orientation Equivariance and Invariance Dominik Fuchsgruber Tim Poštuvan Stephan Günnemann Simon Geisler 29 2 0 22 Oct 2024
Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs Hewen Wang Renchi Yang Xiaokui Xiao 26 1 0 19 Jun 2024
A Comprehensive Graph Pooling Benchmark: Effectiveness, Robustness and Generalizability Pengyun Wang Junyu Luo Yanxin Shen Siyu Heng Xiao Luo 44 1 0 13 Jun 2024
Co-Representation Neural Hypergraph Diffusion for Edge-Dependent Node Classification Yijia Zheng M. Worring DiffM 37 1 0 23 May 2024
Topological Cycle Graph Attention Network for Brain Functional Connectivity Jinghan Huang Nanguang Chen Anqi Qiu 21 0 0 28 Mar 2024
Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data Jinghan Huang Qiufeng Chen Yijun Bian Pengli Zhu Nanguang Chen Moo K. Chung Anqi Qiu 36 0 0 11 Mar 2024
Graph Parsing Networks Yunchong Song Siyuan Huang Xinbing Wang Cheng Zhou Zhouhan Lin GNN 32 3 0 22 Feb 2024
Molecular Hypergraph Neural Networks Junwu Chen Philippe Schwaller GNN 34 10 0 20 Dec 2023
Neural Lattice Reduction: A Self-Supervised Geometric Deep Learning Approach G. Marchetti Gabriele Cesa Kumar Pratik Arash Behboodi 29 2 0 14 Nov 2023
Towards Self-Interpretable Graph-Level Anomaly Detection Yixin Liu Kaize Ding Qinghua Lu Fuyi Li Leo Yu Zhang Shirui Pan 29 47 0 25 Oct 2023
Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment Yutong Xia Y. Liang Haomin Wen Xu Liu Kun Wang Zhengyang Zhou Roger Zimmermann AI4TS 40 38 0 23 Sep 2023
BOURNE: Bootstrapped Self-supervised Learning Framework for Unified Graph Anomaly Detection Jie Liu Mengting He Xuequn Shang Jieming Shi Bin Cui Hongzhi Yin 11 8 0 28 Jul 2023
Learning Resource Allocation Policy: Vertex-GNN or Edge-GNN? Yao Peng Jia Guo Chenyang Yang 28 21 0 24 Jul 2023
Beyond the Snapshot: Brain Tokenized Graph Transformer for Longitudinal Brain Functional Connectome Embedding Zijian Dong Yilei Wu Yu Xiao J. Chong Yueming Jin J. Zhou MedIm 19 5 0 03 Jul 2023
Subgraph Networks Based Contrastive Learning Jinhuan Wang Jiafei Shao Zeyu Wang Shanqing Yu Qi Xuan Xiaoniu Yang 19 1 0 06 Jun 2023
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation Minki Kang Jin Myung Kwak Jinheon Baek Sung Ju Hwang RALM 11 57 0 30 May 2023
Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks Bowen Jin Yu Zhang Yu Meng Jiawei Han 30 31 0 21 Feb 2023
Heterogeneous Graph Convolutional Neural Network via Hodge-Laplacian for Brain Functional Data Jinghan Huang M. Chung A. Qiu 15 9 0 18 Feb 2023
Dynamic Spatial-temporal Hypergraph Convolutional Network for Skeleton-based Action Recognition Shen-Ling Wang Yongji Zhang Hong Qi M. Zhao Yu Jiang 30 7 0 17 Feb 2023
GRANDE: a neural model over directed multigraphs with application to anti-money laundering Ruofan Wu Boqun Ma Hong Jin Wenlong Zhao Weiqiang Wang Tianyi Zhang 11 1 0 04 Feb 2023
GRATIS: Deep Learning Graph Representation with Task-specific Topology and Multi-dimensional Edge Features Siyang Song Yuxin Song Cheng Luo Zhiyuan Song Selim Kuzucu Xi Jia Zhijiang Guo Weicheng Xie Linlin Shen Hatice Gunes 13 24 0 19 Nov 2022
Line Graph Contrastive Learning for Link Prediction Zehua Zhang Shilin Sun Guixiang Ma Caiming Zhong 13 27 0 25 Oct 2022
Spiking Variational Graph Auto-Encoders for Efficient Graph Representation Learning Hanxuan Yang Ruike Zhang Qingchao Kong Wenji Mao GNN 16 3 0 24 Oct 2022
Multimodal learning with graphs Yasha Ektefaie George Dasoulas Ayush Noori Maha Farhat Marinka Zitnik 38 82 0 07 Sep 2022
Object Detection in Aerial Images with Uncertainty-Aware Graph Network Jongha Kim Jinheon Baek S. Hwang 27 0 0 23 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 32 368 0 05 Aug 2022
Equivariant Hypergraph Diffusion Neural Operators Peihao Wang Shenghao Yang Yunyu Liu Zhangyang Wang Pan Li DiffM 22 33 0 14 Jul 2022
Personalized Subgraph Federated Learning Jinheon Baek Wonyong Jeong Jiongdao Jin Jaehong Yoon Sung Ju Hwang FedML 11 51 0 21 Jun 2022
Graph Pooling for Graph Neural Networks: Progress, Challenges, and Opportunities Chuang Liu Yibing Zhan Jia Wu Chang Li Bo Du Wenbin Hu Tongliang Liu Dacheng Tao GNN AI4CE 22 78 0 15 Apr 2022
You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks Eli Chien Chao Pan Jianhao Peng O. Milenkovic GNN 39 127 0 24 Jun 2021
Benchmarking Graph Neural Networks Vijay Prakash Dwivedi Chaitanya K. Joshi Anh Tuan Luu T. Laurent Yoshua Bengio Xavier Bresson 186 913 0 02 Mar 2020