JinmiaoS's repositories
ATMOL
图对比任务-A model named ATMOL for predicting molecular property
Graph2MDA
图嵌入+集成学习Graph2MDA is an architecture based on the multi-mode attributed graph for identifing new microbe-drug association.
pyDecisions
A python MCDA Library - AHP; Fuzzy AHP; ARAS; Borda; BWM; CODAS; COPRAS; CRITIC; DEMATEL; Fuzzy DEMATEL; EDAS; Fuzzy EDAS; ELECTRE (I, I_s, I_v, II, III, IV, Tri-B); GRA; IDOCRIW; MOORA; MOOSRA; MULTIMOORA; PROMETHEE (I, II, III, IV, V, VI, Gaia); SAW; SMART; TOPSIS; Fuzzy TOPSIS; VIKOR; Fuzzy VIKOR; WINGS; WSM; WPM; WASPAS
GraphEmbedding
Implementation and experiments of graph embedding algorithms.
CSGNN
Codes of paper "Category-aware Self-supervised Graph Neural Network for Session-based Recommendation"
RepDistiller
[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods
CellVGAE
对比 An unsupervised scRNA-seq analysis workflow with graph attention networks
KGANCDA
KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail of the paper will be released in this page after the paper accepted.
LR-GNN
分子关联对预测
MMGCN
MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction
PmliPred
PmliPred: a method for plant miRNA-lncRNA interaction prediction based on hybrid model and fuzzy decision
RMDL
RMDL: Random Multimodel Deep Learning for Classification
FeatureExtraction_BiologicalSequences
Feature Extraction Approaches for Biological Sequences: A Comparative Study of Mathematical Models
Py_FS
A Python Package for Feature Selection
Keras-TextClassification
中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastText，TextCNN，CharCNN，TextRNN, RCNN, DCNN, DPCNN, VDCNN, CRNN, Bert, Xlnet, Albert, Attention, DeepMoji, HAN, 胶囊网络-CapsuleNet, Transformer-encode, Seq2seq, SWEM, LEAM, TextGCN
CEM-RL
Combining Evolutionary Algorithms and deep RL in various ways
FeatureSelection-FSRV
Novel Decomposing Model with Evolutionary Algorithms for Feature Selection in Long Non-Coding RNAs
takagi_sugeno_kang_fuzzy_system
Takagi-Sugeno-Kang for the FEHIS course in the Silesian University of Technology PhD studies
Graph-based-DeepForest
Graph based gcForest for master thesis,ongoing project
scziDesk
Deep soft K-means clustering with self-training for single cell RNA sequence data
Financial-Prediction
金融数据预测分析（Random Forest; LSTM; CNN）
TSK-FS
Takagi-Sugeno-Kang Fuzzy System
RPITER
A hierarchical deep learning framework for ncRNA-protein interaction prediction.
neural_graph_collaborative_filtering
Neural Graph Collaborative Filtering, SIGIR2019
Pneumonia-X-Rays-of-Human-Lungs-AI-project
This projects includes both back-end (Keras, Flask with dependencies) and front-end/deployement (HTML, CSS, JS) parts. The project perform X-rays of human lungs classifiaction using Convolutional Neural Networks with automated image pre-processing and internal procedures. Saved files of inspected models are saved on specific folders in project directory.
GraphNeuralNetwork
《深入浅出图神经网络：GNN原理解析》配套代码