wsGAT: weighted and signed graph attention networks for link prediction

DOI10.1007/978-3-030-93409-5_31OpenAlexW3199046599MaRDI QIDQ2086612

Giuseppe Mangioni, Marco Grassia

Publication date: 25 October 2022

Full work available at URL: https://arxiv.org/abs/2109.11519

zbMATH Keywords

link predictionnetwork sciencegeometric deep learninggraph neural networksgeometric representation learning

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Graph theory (including graph drawing) in computer science (68R10)

Uses Software

• PyTorch

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