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Link Prediction

Link Prediction

Link Prediction in Time Varying Social Networks

Predicting new links in complex networks can have a large societal impact. In fact, many complex systems can be modeled through networks, and the meaning of the links depend on the …

Journal
Vincenza Carchiolo, Christian Cavallo, Marco Grassia, Michele Malgeri et al.
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Geometric Deep Learning

wsGAT: Weighted and Signed Graph Attention Networks for Link Prediction

Graph Neural Networks (GNNs) have been widely used to learn representations on graphs and tackle many real-world problems from a wide range of domains. In this paper we propose …

Conference
Marco Grassia, Giuseppe Mangioni
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Geometric Deep Learning

wsGAT: Weighted and Signed Graph Attention

A graph attention layer for networks with weighted and signed links, from the 2022 paper on link prediction.

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