This document serves as user manual for HydraGNN, a scalable graph neural network (GNN) architecture that allows for a simultaneous prediction of multiple target properties using multi-task learning ...
Gaetan Simian: PhD student (co-direction with Anthony Conway ), started February 2023. Miguel Orbegozo Rodriguez: postdoc, started September 2025. Livio Ferretti: postdoc, September 2023-February 2025 ...
Abstract: In unsupervised graph-based hashing for large-scale image retrieval, many efforts have been made to bridge the gap between the learned graph embedding and the corresponding binary codes.
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