GAT
GAT model
An implementation of Graph Attention Networks in TensorFlow for graph representation learning.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
3k stars
45 watching
652 forks
Language: Python
last commit: over 2 years ago
Linked from 1 awesome list
attention-mechanismgraph-attention-networksneural-networkspythonself-attentiontensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
diego999/pygat | An implementation of the Graph Attention Network model using PyTorch. | 2,935 |
taki0112/ugatit | An unsupervised image-to-image translation model with adaptive normalization and attention mechanisms. | 6,170 |
philipperemy/keras-attention | A Keras layer implementing an attention mechanism for natural language processing tasks | 2,803 |
tkipf/pygcn | A PyTorch implementation of a graph neural network architecture for semi-supervised classification | 5,214 |
jessevig/bertviz | An interactive tool for visualizing attention in Transformer language models. | 7,019 |
google-deepmind/graph_nets | Builds graph networks in TensorFlow using a library provided by DeepMind's AI research organization. | 5,370 |
danielegrattarola/spektral | A Python library for building graph neural networks with Keras and TensorFlow 2. | 2,372 |
pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 108 |
tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,372 |
sherjilozair/char-rnn-tensorflow | A tool for training and sampling character-level language models using multi-layer recurrent neural networks | 2,643 |
tensorpack/tensorpack | A high-performance neural network training interface for TensorFlow that focuses on speed and flexibility. | 6,303 |
smallcorgi/faster-rcnn_tf | An experimental implementation of Faster R-CNN object detection using TensorFlow | 2,340 |
binroot/tensorflow-book | A comprehensive resource for learning machine learning using TensorFlow. | 4,453 |
tqtg/hierarchical-attention-networks | An implementation of a neural network architecture for document classification using hierarchical attention mechanisms | 87 |
osmr/imgclsmob | Research and development of deep learning networks for computer vision tasks | 2,984 |