Fig. 1
From: Evolving network representation learning based on random walks
Instability of the StaticNRL methods. Controlled experiments on running StaticNRL multiple times on the same network depict that the network representations learned are not stable, as a result of random initialization and random walks collected. When any of these random processes are fixed, then the network representations learned become more stable. a cosine similarity and b matrix distance