This repository collects foundational academic papers on Network Representation Learning (NRL) and Network Embedding (NE). It organizes papers by model type including basic models, attributed networks, dynamic networks, and heterogeneous networks. The list also covers applications in NLP, knowledge graphs, social networks, and recommendation systems. The authors also maintain OpenNE, an open-source toolkit implementing models like DeepWalk, LINE, node2vec, and GCN.