A General Framework for Content-enhanced Network Representation Learning
Table 2: Performance on DBLP. (The input matrix of DBLP for TADW is too large to be loaded into memory of our machine.)
['Algorithm Structure', 'Algorithm DW', '10% 87.30', '20% 88.27', '30% 88.41', '40% 88.88', '50% 88.90', '60% 88.78', '70% 88.48', '80% 89.17', '90% 89.20']
The proposed CENE consistently and significantly outperforms both structure-based and content-based methods on all different datasets and most training rations, demonstrating the efficacy of our approach.