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cs.LG2022
Are Graph Representation Learning Methods Robust to Graph Sparsity and Asymmetric Node Information?
Pierre Sevestre, Marine Neyret
The growing popularity of Graph Representation Learning (GRL) methods has resulted in the development of a large number of models applied to a miscellany of domains. Behind this di…
cs.LG2020★ 1 cited
About Graph Degeneracy, Representation Learning and Scalability
Simon Brandeis, Adrian Jarret, Pierre Sevestre
Graphs or networks are a very convenient way to represent data with lots of interaction. Recently, Machine Learning on Graph data has gained a lot of traction. In particular, verte…