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

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"

7 / 7 papers shown

Title
Graph Condensation: A Survey Xin Gao Junliang Yu Wei Jiang Tong Chen Wentao Zhang Hongzhi Yin DD 77 19 0 28 Jan 2025
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 16 6 0 22 May 2024
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 16 17 0 23 Oct 2023
SHINE: SubHypergraph Inductive Neural nEtwork Yuan Luo 16 13 0 13 Oct 2022
Heterogeneous Graph Transformer Ziniu Hu Yuxiao Dong Kuansan Wang Yizhou Sun 167 1,157 0 03 Mar 2020
A Survey on Knowledge Graphs: Representation, Acquisition and Applications Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu 164 1,877 0 02 Feb 2020
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 228 3,202 0 24 Nov 2016