Chedy Raïssi

Discovering alignment relations with Graph Convolutional Networks: a\n biomedical case study

2020 · arXiv (Cornell University)

Knowledge graphs are freely aggregated, published, and edited in the Web of\ndata, and thus may overlap. Hence, a key task resides in aligning (or matching)\ntheir content. This task encompasses the identification, within an aggregated\nknowledge graph, …