Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs

31 December 2024

Papers citing "Learning from Heterogeneity: A Dynamic Learning Framework for Hypergraphs"

24 / 24 papers shown

Title
Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen Zihao Li Xinyuan Cao Xiangbo Gao Kexin Tian Keshu Wu ... Yunlong Zhang Tianbao Yang Dominique Lord Zhengzhong Tu Yang Zhou 32 0 0 27 May 2025
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation Jinze Wang Tiehua Zhang Lu Zhang Yang Bai Xuzhao Li Jiong Jin 51 1 0 27 Mar 2025
Towards Constraint-Based Adaptive Hypergraph Learning for Solving Vehicle Routing: An End-to-End Solution Zhenwei Wang Ruibin Bai Tiehua Zhang 88 0 0 13 Mar 2025
HyperSMOTE: A Hypergraph-based Oversampling Approach for Imbalanced Node Classifications Ziming Zhao Tiehua Zhang Zijian Yi Zhishu Shen 51 0 0 09 Sep 2024
Towards Multi-agent Reinforcement Learning based Traffic Signal Control through Spatio-temporal Hypergraphs Kang Wang Zhishu Shen Zhen Lei Tiehua Zhang 121 1 0 17 Apr 2024
Exploiting Spatial-temporal Data for Sleep Stage Classification via Hypergraph Learning Yuze Liu Ziming Zhao Tiehua Zhang Kang Wang Xin Chen Xiaowei Huang Jun-Jian Yin Zhishu Shen 59 5 0 05 Sep 2023
Towards Relation-centered Pooling and Convolution for Heterogeneous Graph Learning Networks Tiehua Zhang Yuze Liu Yaohan Yao Youhua Xia Xin Chen Xiaowei Huang Jiongdao Jin 73 2 0 31 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 66 13 0 13 Oct 2022
An Adaptive Federated Relevance Framework for Spatial Temporal Graph Learning Tiehua Zhang Yuze Liu Zhishu Shen Ruiqian Xu Xin Chen Xiaowei Huang Xi Zheng FedML AI4TS 58 10 0 07 Jun 2022
Heterogeneous Graph Representation Learning with Relation Awareness Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong 45 54 0 24 May 2021
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification Yichao Yan Jie Qin Jiaxin Chen Li Liu Fan Zhu Ying Tai Ling Shao 36 133 0 30 Apr 2021
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources Xiao Wang Deyu Bo C. Shi Shaohua Fan Yanfang Ye Philip S. Yu AI4TS 69 298 0 30 Nov 2020
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 263 1,183 0 03 Mar 2020
A Survey on Knowledge Graph-Based Recommender Systems Qingyu Guo Fuzhen Zhuang Chuan Qin Hengshu Zhu Xing Xie Hui Xiong Qing He 119 738 0 28 Feb 2020
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 135 962 0 10 Jul 2019
Relation-Aware Graph Attention Network for Visual Question Answering Linjie Li Zhe Gan Yu Cheng Jingjing Liu GNN 140 343 0 29 Mar 2019
Hypergraph Neural Networks Yifan Feng Haoxuan You Zizhao Zhang Rongrong Ji Yue Gao GNN 78 1,365 0 25 Sep 2018
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 388 19,991 0 30 Oct 2017
Inhomogeneous Hypergraph Clustering with Applications Pan Li O. Milenkovic 45 158 0 05 Sep 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 431 15,066 0 07 Jun 2017
Poincaré Embeddings for Learning Hierarchical Representations Maximilian Nickel Douwe Kiela 75 1,290 0 22 May 2017
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 540 28,901 0 09 Sep 2016
node2vec: Scalable Feature Learning for Networks Aditya Grover J. Leskovec 172 10,825 0 03 Jul 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014