Search Results for author: Francesco Ceccarelli

Found 4 papers, 1 papers with code

Neural Embeddings for Protein Graphs

no code implementations7 Jun 2023 Francesco Ceccarelli, Lorenzo Giusti, Sean B. Holden, Pietro Liò

Proteins perform much of the work in living organisms, and consequently the development of efficient computational methods for protein representation is essential for advancing large-scale biological research.

CIN++: Enhancing Topological Message Passing

1 code implementation6 Jun 2023 Lorenzo Giusti, Teodora Reu, Francesco Ceccarelli, Cristian Bodnar, Pietro Liò

Our message passing scheme accounts for the aforementioned limitations by letting the cells to receive also lower messages within each layer.

Graph Classification Graph Regression

Rxn Hypergraph: a Hypergraph Attention Model for Chemical Reaction Representation

no code implementations2 Jan 2022 Mohammadamin Tavakoli, Alexander Shmakov, Francesco Ceccarelli, Pierre Baldi

To achieve such skills, it is important to develop good representations of chemical reactions, or good deep learning architectures that can learn such representations automatically from the data.

Property Prediction

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