Name
Title | ||
|---|---|---|
Towards Graph Machine Learning for Smart Grid Knowledge Graphs in Industrial Scenarios |
Abstract | ||
|---|---|---|
Knowledge Graphs (KGs) demonstrated promising application perspective in different scenarios, especially when combined with Graph Machine Learning (GML) techniques able to interpret and infer over facts. Given the natural network structures of Smart Grid equipment and the exponential growth of electric power data, Smart Grid Knowledge Graphs (SGKGs) provides unprecedented opportunities to manage m... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/RTSI50628.2021.9597339 | 2021 IEEE 6th International Forum on Research and Technology for Society and Industry (RTSI) |
Keywords | DocType | ISBN |
Knowledge engineering,Industries,Semantics,Machine learning,Smart grids,Power systems,Common Information Model (electricity) | Conference | 978-1-6654-4135-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guido Walter Di Donato | 1 | 0 | 0.34 |
| Andrea Damiani | 2 | 0 | 0.34 |
| Alberto Parravicini | 3 | 1 | 2.05 |
| Enea Bionda | 4 | 0 | 0.34 |
| Francesca Soldan | 5 | 0 | 0.34 |
| Carlo Tornelli | 6 | 0 | 0.34 |
| Marco D. Santambrogio | 7 | 771 | 91.15 |