JiaxuanYou/P-GNN
Position-aware Graph Neural Networks
Position-aware Graph Neural Networks
Crop Yield Prediction with Deep Learning
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
G2SAT: Learning to Generate SAT Formulas
Hierarchical Temporal Convolutional Networks for Dynamic Recommender Systems
Graph Neural Network Library for PyTorch
Efficient Streaming Language Models with Attention Sinks
Sample Code for Gated Graph Neural Networks
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Danqi Chen's PhD Thesis
The most cited deep learning papers
code for paper "Graph Structure of Neural Networks"
Message Passing Neural Networks for Molecule Property Prediction
TensorFlow tutorials and code examples for beginners
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Spatial Sparse Convolution in PyTorch
Speed up PixelCNN++ image generation by up to a 183 times
Build Graph Nets in Tensorflow
TensorFlow code and pre-trained models for BERT
Spearmint Bayesian optimization codebase
Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
A toolkit for developing and comparing reinforcement learning algorithms.
Library of functions and wrapper scripts for accessing NEIC ComCat server data
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Recurrent Variational Autoencoder that generates sequential data implemented in pytorch
Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch