Analyzing and modeling network data have become increasingly important in a wide range of scientific fields. Among popular models, exponential random graph models (ERGM) have been developed to study ...

EwLoss: A Exponential Weighted Loss Function for Knowledge Graph Embedding Models Knowledge graphs have been widely used in various domains such as intelligent question answering, information ...

Gibbs Sampler for Exponential Random Graph Models Peter Wills Mathematical Background The following discussion assumes a basic understanding of network science. Please see [1] for the relevant ...

We present a different framework for network analysis, based on Exponential Random Graph Models, which overcomes the above limitations and is thus particularly well suited for clinical populations ...

DAVID ARISTOFF, LINGJIONG ZHU, ON THE PHASE TRANSITION CURVE IN A DIRECTED EXPONENTIAL RANDOM GRAPH MODEL, Advances in Applied Probability, Vol. 50, No. 1 (2018), pp. 272-301 ...

But I tried to make library (header file) for visualize mathematical function graph and network graph with c++ If you want to this file, first you need to install Gnuplot and Graphviz. Gnuplot is ...