olddaos / KerasDeepWalkLinks
Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Theano
☆17Updated 9 years ago
Alternatives and similar repositories for KerasDeepWalk
Users that are interested in KerasDeepWalk are comparing it to the libraries listed below
Sorting:
- Linear Recommender AAAI-16 code☆21Updated 7 years ago
- Matrix factorization using TensorFlow☆63Updated 6 years ago
- Augmenting word embeddings with their surrounding context using bidirectional RNN☆60Updated 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
- Code for paper "On Sampling Strategies for Neural Network-based Collaborative Filtering"☆39Updated 7 years ago
- PRUNE: Preserving Proximity and Global Ranking for Network Embedding☆44Updated 7 years ago
- implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow☆55Updated 2 months ago
- Code for Supervised Word Mover's Distance (SWMD)☆92Updated 7 years ago
- Network Embedding Survey and Resources☆40Updated 8 years ago
- Keras implementation of Structural Deep Network Embedding, KDD 2016☆92Updated 7 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- A implementation of CF-NADE. Yin Zheng, et. al. "A Neural Autoregressive Approach to Collaborative Filtering", accepted by ICML 2016.☆79Updated 7 years ago
- lecture notes for probabilistic topic models using ipython notebook☆22Updated 10 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
- A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).☆60Updated 6 years ago
- Deep generative model for sentiment analysis☆34Updated 8 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Representation based multi label classification with many labels☆40Updated 8 years ago
- Deep Embedding Clustering in Keras☆131Updated 8 years ago
- Tensorflow implementation of Facebook TagSpace☆73Updated 6 years ago
- Scalable tensor factorization☆54Updated 10 years ago
- Active Learning☆56Updated 10 years ago
- Bringing node2vec and word2vec together for cool stuff☆22Updated 5 years ago
- Deep Learning with Positive and Unlabeled samples☆54Updated 7 years ago
- Density Order Embeddings☆33Updated 6 years ago
- Implementation of Hierarchical Attention Networks as presented in https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf☆57Updated 7 years ago
- Implementation of the paper "Community Detection with Graph Neural Networks", by J. Bruna and L. Li☆74Updated 8 years ago
- Neural Tensor Network Implementation as a keras layer☆59Updated 8 years ago
- Factorization Machine for regression and classification☆98Updated 8 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago