thunlp/NRLPapers
A curated bibliography of must-read papers on network representation learning and graph embedding.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is thunlp/NRLPapers?
- A curated bibliography of must-read papers on network representation learning and graph embedding.
- Is NRLPapers open source?
- Yes — thunlp/NRLPapers is an open-source project tracked on heatdrop.
- What language is NRLPapers written in?
- thunlp/NRLPapers is primarily written in TeX.
- How popular is NRLPapers?
- thunlp/NRLPapers has 2.5k stars on GitHub.
- Where can I find NRLPapers?
- thunlp/NRLPapers is on GitHub at https://github.com/thunlp/NRLPapers.