2 citations · 3 across the 4 of their papers we have counts for
4 papers
Is One Token All It Takes? Graph Pooling Tokens for LLM-based GraphQA
Ankit Grover, Lodovico Giaretta, Rémi Bourgerie +1
The integration of Graph Neural Networks (GNNs) with Large Language Models (LLMs) has emerged as a promising paradigm for Graph Question Answering (GraphQA). However, effective met…
Adaptive Graph Pruning with Sudden-Events Evaluation for Traffic Prediction using Online Semi-Decentralized ST-GNNs
Ivan Kralj, Lodovico Giaretta, Gordan Ježić +2
Spatio-Temporal Graph Neural Networks (ST-GNNs) are well-suited for processing high-frequency data streams from geographically distributed sensors in smart mobility systems. Howeve…
Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction
Ivan Kralj, Lodovico Giaretta, Gordan Ježić +2
In smart mobility, large networks of geographically distributed sensors produce vast amounts of high-frequency spatio-temporal data that must be processed in real time to avoid maj…
Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning
Daniel Garcia Bernal, Lodovico Giaretta, Sarunas Girdzijauskas +1
Large scale contextual representation models have significantly advanced NLP in recent years, understanding the semantics of text to a degree never seen before. However, they need…