Ernesto La Mattina

Semantic Node Similarity in Graphs Using Transformer-Based Embeddings

Semantic similarity between nodes in graphs with textual attributes is crucial for numerous graph analytics tasks, such as clustering, inference, and latent relationship detection. Traditional structure-based similarity measures capture only topological information and fail to exploit the semantic content embedded in n...