Graph Attention Pooling(GAP) a fast approach for sparse graphs

dc.contributor.advisor	Dasgupta, Anirban
dc.contributor.author	Rawat, Ashish
dc.date.accessioned	2025-09-11T15:52:53Z
dc.date.available	2025-09-11T15:52:53Z
dc.date.issued	2025
dc.identifier.citation	Rawat, Ashish. (2025). Graph Attention Pooling(GAP) a fast approach for sparse graphs. Gandhinagar: Indian Institute of Technology Gandhinagar, 35p. (Acc. No.: T01441)
dc.identifier.uri	https://repository.iitgn.ac.in/handle/123456789/11975
dc.description.statementofresponsibility	by Ashish Rawat
dc.format.extent	xvii, 35p.: hbk.: 30 cm
dc.language.iso	en_US
dc.publisher	Indian Institute of Technology Gandhinagar
dc.subject	23210024
dc.subject	M. Tech
dc.subject	Computer Science and Engineering
dc.subject	Graph Neural Networks (GNNs)
dc.subject	Machine Learning
dc.subject	Graph TRansformer
dc.subject	Pooling
dc.subject	Graph Attention Networks (GATs)
dc.subject	Convolutional Neural Networks (CNNs)
dc.title	Graph Attention Pooling(GAP) a fast approach for sparse graphs
dc.type	Thesis
dc.contributor.department	Computer Science and Engineering
dc.description.degree	M.Tech.