Pinned Repositories
ANMF
This is our implementation for the paper“Additional Neural Matrix Factorization model for Computational drug repositioning. BMC Bioinformatics ”
awesome-community-detection
A curated list of community detection research papers with implementations.
DeepLearningLifeSciences
Example code from the book "Deep Learning for the Life Sciences"
GraSeq
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. In CIKM 2020.
Jiangjing
MultiGran
The code of the MultiGran model.
NoiseMol
paper-reading
深度学习经典、新论文逐段精读
sa-mtl
SA-MTL model for the Tox21 dataset
smiles-transformer
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
Jiangjing0122's Repositories
Jiangjing0122/NoiseMol
Jiangjing0122/awesome-community-detection
A curated list of community detection research papers with implementations.
Jiangjing0122/MultiGran
The code of the MultiGran model.
Jiangjing0122/smiles-transformer
Original implementation of the paper "SMILES Transformer: Pre-trained Molecular Fingerprint for Low Data Drug Discovery" by Shion Honda et al.
Jiangjing0122/DeepLearningLifeSciences
Example code from the book "Deep Learning for the Life Sciences"
Jiangjing0122/GraSeq
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. In CIKM 2020.
Jiangjing0122/paper-reading
深度学习经典、新论文逐段精读
Jiangjing0122/sa-mtl
SA-MTL model for the Tox21 dataset
Jiangjing0122/ANMF
This is our implementation for the paper“Additional Neural Matrix Factorization model for Computational drug repositioning. BMC Bioinformatics ”
Jiangjing0122/bert
TensorFlow code and pre-trained models for BERT
Jiangjing0122/bert-loves-chemistry
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
Jiangjing0122/code
Compilation of R and Python programming codes on the Data Professor YouTube channel.
Jiangjing0122/d2l-mindspore
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
Jiangjing0122/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Jiangjing0122/deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Jiangjing0122/dmol-book
Deep learning for molecules and materials book
Jiangjing0122/drug-repo
A framework for computational drug repositioning
Jiangjing0122/GraphMVP
Jiangjing0122/GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码
Jiangjing0122/INTransformer
Data Augmentation-based Contrastive Learning by Injecting Noise into Transformer for Molecular Property Prediction
Jiangjing0122/Meta-MGNN
Few-Shot Graph Learning for Molecular Property Prediction
Jiangjing0122/MGSSL
Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"
Jiangjing0122/molecule-attention-transformer
Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules
Jiangjing0122/MolT5
Associated Repository for "Translation between Molecules and Natural Language"
Jiangjing0122/Multi-Gran
for multi-granularity
Jiangjing0122/qsar-mtl
Jiangjing0122/selfies
Robust representation of semantically constrained graphs, in particular for molecules in chemistry
Jiangjing0122/SmilesPE
SMILES Pair Encoding: A data-driven substructure representation of chemicals
Jiangjing0122/TranGRU
The details of TranGRU
Jiangjing0122/vGraph
Code for NeurIPS paper "vGraph: A Generative Model for Joint CommunityDetection and Node Representation Learning"