Relation Structure-Aware Heterogeneous Information Network Embedding

15 May 2019

Papers citing "Relation Structure-Aware Heterogeneous Information Network Embedding"

21 / 21 papers shown

Title
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective Yujie Mo Zhihe Lu Runpeng Yu Xiaofeng Zhu Xinchao Wang 79 2 0 01 Dec 2024
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters Yujie Mo Runpeng Yu Xiaofeng Zhu Xinchao Wang 46 1 0 02 Nov 2024
Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning Zhixiang Shen Shuo Wang Zhao Kang 30 2 0 25 Sep 2024
Balanced Multi-Relational Graph Clustering Zhixiang Shen Haolan He Zhao Kang 36 5 0 23 Jul 2024
Few-Shot Causal Representation Learning for Out-of-Distribution Generalization on Heterogeneous Graphs Pengfei Ding Yan Wang Guanfeng Liu Nan Wang Xiaofang Zhou OODD OOD 31 2 0 07 Jan 2024
GSLB: The Graph Structure Learning Benchmark Zhixun Li Liang Wang Xin Sun Yifan Luo Yanqiao Zhu ... Xiangxin Zhou Qiang Liu Shu Wu Liang Wang Jeffrey Xu Yu 48 34 0 08 Oct 2023
Cross-heterogeneity Graph Few-shot Learning Pengfei Ding Yan Wang Guanfeng Liu 30 2 0 10 Aug 2023
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs Zimin Wan Deqing Wang Xuehua Ming Fuzhen Zhuang Chenguang Du Ting Jiang Zhengyang Zhao 25 0 0 20 Nov 2022
Multiplex Heterogeneous Graph Convolutional Network YU Peng Chaofan Fu Yanwei Yu Chao Huang Zhongying Zhao Junyu Dong 27 65 0 12 Aug 2022
Heterogeneous Graph Neural Networks using Self-supervised Reciprocally Contrastive Learning Cuiying Huo Dongxiao He Peican Zhu Di Jin Jianwu Dang Weixiong Zhang Witold Pedrycz Lingfei Wu SSL 25 3 0 30 Apr 2022
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks Xiangtai Chen Tao Tang Jing Ren Ivan Lee Honglong Chen Feng Xia 24 6 0 16 Feb 2022
CoarSAS2hvec: Heterogeneous Information Network Embedding with Balanced Network Sampling Ling Zhan Tao Jia 33 8 0 12 Oct 2021
A Framework for Joint Unsupervised Learning of Cluster-Aware Embedding for Heterogeneous Networks R. A. Khan M. Kleinsteuber 27 3 0 09 Aug 2021
Heterogeneous Graph Representation Learning with Relation Awareness Le Yu Leilei Sun Bowen Du Chuanren Liu Weifeng Lv Hui Xiong 21 53 0 24 May 2021
Network Representation Learning: From Traditional Feature Learning to Deep Learning Ke Sun Lei Wang Bo Xu Wenhong Zhao S. Teng Feng Xia GNN 25 28 0 07 Mar 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 38 294 0 30 Nov 2020
Tree Structure-Aware Graph Representation Learning via Integrated Hierarchical Aggregation and Relational Metric Learning Ziyue Qiao Pengyang Wang Yanjie Fu Yi Du P. Wang Yuanchun Zhou 22 18 0 23 Aug 2020
Heterogeneous Network Representation Learning: A Unified Framework with Survey and Benchmark Carl Yang Yuxin Xiao Yu Zhang Yizhou Sun Jiawei Han AI4TS 52 57 0 01 Apr 2020
A Heterogeneous Dynamical Graph Neural Networks Approach to Quantify Scientific Impact Fan Zhou Xovee Xu Ce Li Goce Trajcevski Ting Zhong Kunpeng Zhang 15 16 0 26 Mar 2020
PINE: Universal Deep Embedding for Graph Nodes via Partial Permutation Invariant Set Functions Shupeng Gui Xiangliang Zhang Pan Zhong Shuang Qiu Mingrui Wu Jieping Ye Zhengdao Wang Ji Liu 27 15 0 25 Sep 2019
Temporal Network Embedding with Micro- and Macro-dynamics Yuanfu Lu Tianlin Li C. Shi Philip S. Yu Yanfang Ye AI4TS AI4CE 19 117 0 10 Sep 2019