39 citations · 81 across the 7 of their papers we have counts for
3 papers · 1 filter
Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization
Robert Jankowski, Pedro Almagro-Blanco, Marián Boguñá +2
Graph neural networks (GNNs) can operate on large graphs but become infrastructure-sensitive at the scale of millions of nodes and typically require scalable training techniques fo…
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling
Pedro Almagro-Blanco, Fernando Sancho-Caparrini
Network embedding techniques inspired by word2vec represent an effective unsupervised relational learning model. Commonly, by means of a Skip-Gram procedure, these techniques learn…
Induction of Decision Trees based on Generalized Graph Queries
Pedro Almagro-Blanco, Fernando Sancho-Caparrini
Usually, decision tree induction algorithms are limited to work with non relational data. Given a record, they do not take into account other objects attributes even though they ca…