gwdidonato
CEO & Co-Founder @GenoGra Postdoctoral researcher @necst - PoliMi Ph.D. in Information Technology @necst Bioengineer @ PoliMi and UIC.
@GenoGraMilano
Pinned Repositories
high-performance-graph-analytics-2020
Repository for the course "High-Performance Data & Graph Analytics" at Polimi, Fall 2020
high-performance-graph-analytics-2021
Repository for the course High-Performance Data & Graph Analytics at Polimi, Fall 2021
SHORTEST-PATHS-IN-SOCIAL-NETWORKS-The-importance-of-graph-representation
astarix
AStarix: Fast and Optimal Sequence-to-Graph Aligner
GS-tech-assessment
hpgda-spring22
KGE-Perf-Results
Experimental results on runtime performances of KGE methods, performed through the KGE-Perf framework. The framework and the obtained results are described in: A.S. Valeriani, G.W. Di Donato and M.D. Santambrogio, “Exploring the runtime performance of knowledge graph embedding methods”, in 2021 IEEE6th International Forum on Research and Technology for Society and Industry (RTSI) (IEEE RTSI 2021), Napoli, Italy, Sep. 2021.
NotifyMe
Simple email notification service for Linux command line
keras_biological_gaps_sequences
Python package to generate on-hot encoded biological gaps to use for training and prediction.
nametag_generator
gwdidonato's Repositories
gwdidonato/hpgda-spring22
gwdidonato/KGE-Perf-Results
Experimental results on runtime performances of KGE methods, performed through the KGE-Perf framework. The framework and the obtained results are described in: A.S. Valeriani, G.W. Di Donato and M.D. Santambrogio, “Exploring the runtime performance of knowledge graph embedding methods”, in 2021 IEEE6th International Forum on Research and Technology for Society and Industry (RTSI) (IEEE RTSI 2021), Napoli, Italy, Sep. 2021.
gwdidonato/NotifyMe
Simple email notification service for Linux command line
gwdidonato/astarix
AStarix: Fast and Optimal Sequence-to-Graph Aligner
gwdidonato/GS-tech-assessment