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awesome-graph-classification

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

awesome-hypergraph-learning

Papers about hypergraph, their applications, and even similar ideas.

bio_embeddings

Get protein embeddings from protein sequences

bioservices

Access to Biological Web Services from Python.

cfmgml

datasets

Machine learning datasets used in tutorials on MachineLearningMastery.com

dgl-lifesci

Python package for graph neural networks in chemistry and biology

embeddings-visualization

embeddingsppi

iso_bias

Code for "Understanding Isomorphism Bias in Graph Data Sets" paper.

isolation_kernels

lamp

ECML 2019: Graph Neural Networks for Multi-Label Classification

milsurvey

Code for Experiments in “Multiple Instance Learning: A Survey of Problem Characteristics and Applications,”

mmi

multi-label-friedman-nemenyi

Compute Friedman and Nemenyi Statistical Tests for Multilabel Classification

multi-label-paper

This document covers various papers about multi-label for reference

ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

openne

An Open-Source Package for Network Embedding (NE)

polyssifier

run a multitude of classifiers on you data and get an AUC report

propr

模式识别的概率理论

protein-duivy

some scripts for analysis of MD and CADD. And some tutorials.

robust-nonlinear-matrix-factorization

The MATLAB codes for the paper "Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering"

simplebeamerjdslides

Rather simple LaTeX beamer slides based on ojdo theme with XCharter package that supports Cyrillic fonts

smiles

Robust Self-supervised Multi-instance Learning with Structure Awareness

sml

stackexchangecodes

Codes related to answers on StackExchange Network.

tdc

Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development

voreen_tools

Provides current Voreen Sources (with modifications) by Uni Münster to build voreen for PC, server or lrz cluster, including workspaces and scripts optimized for graph extraction on datasets utilized by IBBM@TUM.