leuchine
Machine Learning and Natural Language Processing Researcher
University of Hong Kong, Reka AIHong Kong
leuchine's Stars
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
molecularsets/moses
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
weihua916/powerful-gnns
How Powerful are Graph Neural Networks?
muhanzhang/pytorch_DGCNN
PyTorch implementation of DGCNN
muhanzhang/DGCNN
Code for "M. Zhang, Z. Cui, M. Neumann, and Y. Chen, An End-to-End Deep Learning Architecture for Graph Classification, AAAI-18".
mys007/ecc
Edge-Conditioned Convolutions on Graphs
priba/nmp_qc
Our own implementation of Neural Message Passing for Computer Vision paper
JiaxuanYou/P-GNN
Position-aware Graph Neural Networks
materialsvirtuallab/megnet
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
lrjconan/LanczosNetwork
Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
vanzytay/QuaternionTransformers
Repository for ACL 2019 paper
emilemathieu/pvae
code for "Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders".
microsoft/graph-based-code-modelling
Code for "Generative Code Modeling with Graphs" (ICLR'19)
nyu-dl/dl4chem-geometry
leymir/hyperbolic-image-embeddings
Supplementary code for the paper "Hyperbolic Image Embeddings".
hal3/macarico
learning to search in pytorch
sealneaward/nba-movement-data
SportVU movement tracking data.
attardi/wikiextractor
A tool for extracting plain text from Wikipedia dumps
neilmj/BasketballData
cakcora/CoinWorks
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
ZhitingHu/text_content_manipulation
Text Content Manipulation
openai/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
VeritasYin/STGCN_IJCAI-18
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
shaypal5/awesome-twitter-data
A list of Twitter datasets and related resources.
muhanzhang/SEAL
SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".
kimiyoung/planetoid
Semi-supervised learning with graph embeddings
hoangminhle/hierarchical_IL_RL
Code for hierarchical imitation learning and reinforcement learning
wengong-jin/iclr19-graph2graph
Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)