ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA

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Bibliographic Details
Main Author:	HUANG JINGHAN
Other Authors:	BIOMEDICAL ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2024
Subjects:	graph neural network, graph transformer, Hodge-Laplacian filters, simplex, graph pooling
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/248139
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-248139
record_format	dspace
spelling	sg-nus-scholar.10635-2481392024-04-30T18:00:33Z ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA HUANG JINGHAN BIOMEDICAL ENGINEERING Anqi Qiu graph neural network, graph transformer, Hodge-Laplacian filters, simplex, graph pooling Master's MASTER OF ENGINEERING (CDE) 2024-04-30T18:00:33Z 2024-04-30T18:00:33Z 2024-01-18 Thesis HUANG JINGHAN (2024-01-18). ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/248139 0009-0009-2149-1834 en
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	graph neural network, graph transformer, Hodge-Laplacian filters, simplex, graph pooling
spellingShingle	graph neural network, graph transformer, Hodge-Laplacian filters, simplex, graph pooling HUANG JINGHAN ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA
description	Master's
author2	BIOMEDICAL ENGINEERING
author_facet	BIOMEDICAL ENGINEERING HUANG JINGHAN
format	Theses and Dissertations
author	HUANG JINGHAN
author_sort	HUANG JINGHAN
title	ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA
title_short	ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA
title_full	ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA
title_fullStr	ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA
title_full_unstemmed	ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA
title_sort	advancing graph neural networks with hl-hgat: a hodge-laplacian and attention mechanism approach for heterogeneous graph-structured data
publishDate	2024
url	https://scholarbank.nus.edu.sg/handle/10635/248139
_version_	1800916047172206592

ADVANCING GRAPH NEURAL NETWORKS WITH HL-HGAT: A HODGE-LAPLACIAN AND ATTENTION MECHANISM APPROACH FOR HETEROGENEOUS GRAPH-STRUCTURED DATA

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