Label-aware aggregation on heterophilous graphs for node representation learning-Reference-Cited by-同舟云学术

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Label-aware aggregation on heterophilous graphs for node representation learning

Published:2024-09 Issue: Volume:84 Page:102817
ISSN:0141-9382
Container-title:Displays
language:en
Short-container-title:Displays

Author:

Liu Linruo,Wang Yangtao^ORCID,Xie Yanzhao,Tan Xin,Ma Lizhuang,Tang Maobin,Fang Meie

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Reference45 articles.

1. Generalized equivariance and preferential labeling for GNN node classification;Sun,2022

2. Graph representation learning beyond node and homophily;Li;IEEE Trans. Knowl. Data Eng.,2023

3. Representation learning in heterogeneous information networks based on hyper adjacency matrix;Yang,2022

4. UniG-Encoder: A universal feature encoder for graph and hypergraph node classification;Zou;Pattern Recognit.,2024

5. Hashing-accelerated graph neural networks for link prediction;Wu,2021

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