SGNN-Self-Governing-Neural-Networks-Projection-Layer
Word processor
Reproduces a SGNN's word projections preprocessing pipeline using word n-grams instead of skip-grams
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
23 stars
3 watching
3 forks
Language: Jupyter Notebook
last commit: about 2 years ago
Linked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
 zhangxiann/skip-gram | A Python implementation of a neural network model for learning word embeddings from text data | 6 |
 snap-stanford/distance-encoding | This repository provides an implementation of a novel framework for designing Graph Neural Networks (GNNs) with improved structural representation learning capabilities. | 182 |
 theeluwin/pytorch-sgns | An implementation of Word2Vec's SkipGramNegativeSampling in PyTorch with support for word frequency distribution and subsampling. | 302 |
 benedekrozemberczki/simgnn | An implementation of SimGNN, a neural network approach to computing graph similarity | 759 |
 matenure/fastgcn | Implementation of graph convolutional network algorithms with sampling techniques to improve learning speed and efficiency | 519 |
| guillaume-chevalier/seq2seq-signal-prediction | A project demonstrating the use of a Sequence-to-Sequence Recurrent Neural Network (RNN) for time series forecasting in Python using TensorFlow. | 1,083 |
 yerevann/warp | An approach to transfer learning for NLP tasks using adversarial reprogramming and word-level task-specific embeddings. | 83 |
 ivaniscoding/gnn-for-combinatorial-optimization | An implementation of graph neural networks for solving combinatorial optimization problems | 42 |
 saschagrunert/nn | A small neural network implementation of the backpropagation algorithm in Haskell | 127 |
 kmheckel/spyx | A JAX-based library for training and utilizing spiking neural networks | 101 |
 nngen/nngen | Generates hardware-specific accelerator designs for neural networks | 339 |
 fanglanting/skip-gram-pytorch | A PyTorch implementation of the skip-gram model for learning word embeddings. | 188 |
 malllabiisc/wordgcn | A deep learning model that generates word embeddings by predicting words based on their dependency context | 290 |
 hassygo/charngram2vec | A repository providing a re-implementation of character n-gram embeddings for pre-training in natural language processing tasks | 23 |
| benedekrozemberczki/sgcn | An implementation of a deep learning algorithm for graph data | 268 |