MKLab-ITI / reveal-graph-embeddingLinks
Implementation of community-based graph embedding for user classification.
☆27Updated 5 years ago
Alternatives and similar repositories for reveal-graph-embedding
Users that are interested in reveal-graph-embedding are comparing it to the libraries listed below
Sorting:
- Scalable tensor factorization☆54Updated 10 years ago
- Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk☆38Updated 9 years ago
- AttriRank - Unsupervised Ranking using Graph Structures and Node Attributes☆22Updated 7 years ago
- Network Representation Learning with Rich Text Information (IJCAI 2015)☆47Updated 8 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 weeks ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Updated 9 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- ☆18Updated 8 years ago
- Source Code of GraRep☆52Updated 7 years ago
- Word embedding via tensor decomposition.☆23Updated 7 years ago
- Code for HyPER: A Flexible and Extensible Probabilistic Framework for Hybrid Recommender Systems☆16Updated 9 years ago
- Joint Behavior-Topic Model for Microblogs☆15Updated 10 years ago
- Network Embedding Survey and Resources☆40Updated 8 years ago
- Theano implementation of GloVe for graphs☆47Updated 9 years ago
- Graphical Model for Recommender Systems☆20Updated 8 years ago
- Context Selection for Embedding Models☆27Updated 7 years ago
- Efficient discovery of overlapping communities in massive networks PK Gopalan, DM Blei Proceedings of the National Academy of Sciences 11…☆73Updated 4 years ago
- Tensor-based recommender system that incorporates categorical contextual information into collaborative filtering workflow.☆26Updated 9 years ago
- Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted…☆42Updated 8 years ago
- Scalable inference for Correlated Topic Models☆30Updated 10 years ago
- ☆22Updated 10 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- lecture notes for probabilistic topic models using ipython notebook☆22Updated 10 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- Generates a set of property-specific entity embeddings from knowledge graphs using node2vec☆77Updated 3 years ago
- Common pre-processing in NLP such as PPMI computation, SVD-based dimensionality reduction, and PLSR-based distribution prediction.☆24Updated 7 years ago
- code for iclr workshop paper "Learning Document Embedding by Predicting N-grams for Sentiment Classification of Long Movie Reviews"☆25Updated 9 years ago
- Learning graph embedding using DeepWalk or Node2Vec☆15Updated 8 years ago