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The Top 11 Word2vec Network Embedding Open Source Projects

Open source projects categorized as Word2vec Network Embedding
Categories > Network Embedding
Categories > Machine Learning > Word2vec
Nlp Projects ⭐ 345
word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding
most recent commit 3 years ago
Gemsec ⭐ 234
The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).
most recent commit a year ago
Splitter ⭐ 203
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
most recent commit a year ago
Role2vec ⭐ 157
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
most recent commit a year ago
Musae ⭐ 122
The reference implementation of "Multi-scale Attributed Node Embedding". (Journal of Complex Networks 2021)
most recent commit 2 years ago
Asne ⭐ 76
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
most recent commit a year ago
Grarep ⭐ 54
A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).
most recent commit a year ago
Tadw ⭐ 50
An implementation of "Network Representation Learning with Rich Text Information" (IJCAI '15).
most recent commit 2 years ago
Boostedfactorization ⭐ 31
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
most recent commit 2 years ago
Fscnmf ⭐ 16
An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".
most recent commit 2 years ago
Yassqueendb ⭐ 10
Graph database library that allows you to store, analyze, and search through your data in a graph format. By using the Universal Sentence Encoder, it provides an efficient and semantic approach to handle text data. 📚🧠🚀
most recent commit a year ago
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