A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

30 November 2020

Philip S. Yu

Papers citing "A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources"

30 / 30 papers shown

Title
Multi-Granular Attention based Heterogeneous Hypergraph Neural Network Hong Jin Kaicheng Zhou Jie Yin Lan You Zhifeng Zhou 34 0 0 07 May 2025
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 85 19 0 28 Jan 2025
Explainable Spatio-Temporal GCNNs for Irregular Multivariate Time Series: Architecture and Application to ICU Patient Data Óscar Escudero-Arnanz C. Soguero-Ruíz Antonio G. Marques AI4TS 29 0 0 01 Nov 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 34 0 0 11 Jun 2024
Rethinking and Accelerating Graph Condensation: A Training-Free Approach with Class Partition Xin Gao Tong Chen Wentao Zhang Junliang Yu Guanhua Ye Quoc Viet Hung Nguyen 39 7 0 22 May 2024
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions Mengying Jiang Guizhong Liu Yuanchao Su Weiqiang Jin Biao Zhao 21 2 0 28 Feb 2024
Towards Fine-Grained Explainability for Heterogeneous Graph Neural Network Tong Li Jiale Deng Yanyan Shen Luyu Qiu Hu Yongxiang Caleb Chen Cao 23 5 0 23 Dec 2023
HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks Yihong Ma Ning Yan Jiayu Li Masood S. Mortazavi Nitesh V. Chawla 26 18 0 23 Oct 2023
Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation Bo Yan Yang Cao Haoyu Wang Wenchuan Yang Junping Du Chuan Shi FedML 11 22 0 18 Oct 2023
Deep Insights into Noisy Pseudo Labeling on Graph Data Botao Wang Jia Li Yang Liu Jiashun Cheng Yu Rong Wenjia Wang Fugee Tsung NoLa 27 8 0 02 Oct 2023
Prototype-Enhanced Hypergraph Learning for Heterogeneous Information Networks Shuai Wang Jiayi Shen Athanasios Efthymiou S. Rudinac Monika Kackovic N. Wijnberg M. Worring 21 0 0 22 Sep 2023
HRGCN: Heterogeneous Graph-level Anomaly Detection with Hierarchical Relation-augmented Graph Neural Networks Jiaxi Li Guansong Pang Ling-Hao Chen Mohammad-Reza Namazi-Rad 33 1 0 28 Aug 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 46 141 0 11 Apr 2023
A Comprehensive Survey on Graph Summarization with Graph Neural Networks Nasrin Shabani Jia Wu Amin Beheshti Quan.Z Sheng Jin Foo Venus Haghighi Ambreen Hanif Maryam Shahabikargar GNN AI4TS 37 12 0 13 Feb 2023
Holistic Graph-based Motion Prediction Daniel Grimm Philip Schorner M. Dressler J. -Marius Zöllner 24 13 0 31 Jan 2023
Continual Graph Learning: A Survey Qiao Yuan S. Guan Pin Ni Tianlun Luo Ka Lok Man Prudence W. H. Wong Victor I. Chang CLL 24 14 0 28 Jan 2023
Semi-Supervised Heterogeneous Graph Learning with Multi-level Data Augmentation Yingxi Chen Siwei Qiang Mingming Ha Xiaolei Liu Shaoshuai Li Lingfeng Yuan Xiaobo Guo Zheng Hua Zhu 19 2 0 30 Nov 2022
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 24 2 0 31 Oct 2022
Graph Fuzzy System: Concepts, Models and Algorithms F. Hu Zhaohong Deng Zhenping Xie K. Choi Shitong Wang 26 1 0 30 Oct 2022
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 26 13 0 13 Oct 2022
A topic-aware graph neural network model for knowledge base updating Jiajun Tong Zhixi Wang Xiaobin Rui KELM 23 0 0 31 Aug 2022
Deception for Cyber Defence: Challenges and Opportunities David Liebowitz Surya Nepal Kristen Moore Cody James Christopher S. Kanhere David D. Nguyen Roelien C. Timmer Michael Longland Keerth Rathakumar 31 10 0 15 Aug 2022
Parallel and Distributed Graph Neural Networks: An In-Depth Concurrency Analysis Maciej Besta Torsten Hoefler GNN 34 56 0 19 May 2022
Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks Yu Zhao Shaopeng Wei Huaming Du Xingyan Chen Qing Li Fuzhen Zhuang J. Liu Gang Kou 30 10 0 24 Dec 2021
Joint Demand Prediction for Multimodal Systems: A Multi-task Multi-relational Spatiotemporal Graph Neural Network Approach Yuebing Liang Guan Huang Zhan Zhao AI4TS 28 48 0 15 Dec 2021
Recommender systems based on graph embedding techniques: A comprehensive review Yue Deng 37 22 0 20 Sep 2021
Beyond Low-frequency Information in Graph Convolutional Networks Deyu Bo Xiao Wang C. Shi Huawei Shen GNN 94 561 0 04 Jan 2021
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 185 1,169 0 03 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 181 1,940 0 02 Feb 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016