Guido Walter Di Donato, PhD's repositories
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.
astarix
AStarix: Fast and Optimal Sequence-to-Graph Aligner
MPL-2.0000