Shypd.aiThe largest open index of AI toolsNRLPapers is a research and education tool that curates must-read papers on network representation learning (NRL) and network embedding (NE). It provides a comprehensive collection of academic resources for researchers and students.
Trending
About
NRLPapers is a valuable resource for anyone interested in network representation learning (NRL) and network embedding (NE). This GitHub repository, maintained by THUNLP, compiles a list of essential academic papers in the field, categorized for easy navigation. It covers survey papers, various models including basic, attributed, dynamic, heterogeneous information, bipartite, and directed networks, as well as other advanced models. Additionally, it highlights applications in natural language processing, knowledge graphs, social networks, graph clustering, community detection, and recommendation systems. The repository also mentions OpenNE, an open-source toolkit for NE/NRL, providing a standard training and testing framework with implemented models like DeepWalk, LINE, and GCN. This makes NRLPapers an indispensable guide for researchers and students seeking to explore or contribute to the domain of network representation learning.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
