vivian457 Goto Github PK

0425_fklgcn_results

amvml

apbc

Asia Pacific Bioinformatics Conference

asne

Tensorflow implementation of Attributed Social Network Embedding framework (ASNE)

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

awesome-language-model-on-graphs

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

awesome-llms-in-graph-tasks

A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.

awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awosome-bioinformatics

A curated list of resources for learning bioinformatics.

bgnn

bioc2016introduction

bionev

Code and datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations"

cancer-driver

cgatcpred

covid-19_drug_virus_association

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

dbntoolbox

deep belief network toolbox written in Matlab, including algorithms of unsupervised feature learning, deep learning, and general machine learning

decagon

Graph convolutional neural network for multirelational link prediction

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep_learning_examples

Examples of using deep learning in Bioinformatics

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

disease_gene_prioritization_gcn

PGCN: Disease gene prioritization by disease and gene embedding through GCN

disease_web

the disease web server developed by csu bioinformatics group

dmcm

A Data-adaptive Mutation Clustering Method to Identify Cancer-related Mutation Clusters

dna-sequence-analyzer

Local/global sequence alignment (Smith Waterman algorithm), edit distance/similarity (Needleman Wunsch algorithm), RNA to amino acids translation

drawr

Discriminative Random Walk with Restart