High sparse Knowledge Graph is a key challenge to solve the Knowledge Graph Completion task. Due to the sparsity of the KGs, there are not enough first-order neighbors to learn the features of ...

François Caron, Emily B. Fox, Sparse graphs using exchangeable random measures, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 79, No. 5 (NOVEMBER 2017), pp.

To give some context to this idea of a network expressed computationally as a graph, Tench points to social media platforms like Facebook—massive and dynamic social media connections are constantly ...

We study the asymptotics for sparse exponential random graph models where the parameters may depend on the number of vertices of the graph. We obtain exact estimates for the mean and variance of the ...