A General Framework for Content-enhanced Network Representation Learning
Table 3: Performance on Zhihu-Gender.
['Algorithm Structure', 'Algorithm DW', '10% 60.36', '20% 61.77', '30% 62.44', '40% 62.89', '50% 63.23', '60% 63.59', '70% 63.52', '80% 63.40', '90% 63.42']
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.