Zhi, Xinke (2025) A Review of Hypergraph Neural Networks. EAI Endorsed Transactions on e-Learning.
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Abstract
In recent years, Graph Neural Networks (GNNs) have seen notable success in fields such as recommendation systems and natural language processing, largely due to the availability of vast amounts of data and powerful computational resources. GNNs are primarily designed to work with graph data that inv
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 18:31 |
| Last Modified: | 10 Apr 2026 22:59 |
| URI: | http://eprints.eai.eu/id/eprint/52810 |
