43 Open source projects that are alternatives of or similar to Patch-GCN

AI-based pathology predicts origins for cancers of unknown primary - Nature

Fast and scalable search of whole-slide images via self-supervised deep learning - Nature Biomedical Engineering

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

MONAI Deploy aims to become the de-facto standard for developing, packaging, testing, deploying and running medical AI applications in clinical production.

Graph Convolutional Networks, Graph Attention Networks, Gated Graph Neural Net, Mixhop

CoRA Docs

[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks

Conversion tool/library for converting whole slide images to DICOM

Official implementation of MSR-GCN (ICCV2021 paper)

Smart contract vulnerability detection using graph neural network (DR-GCN).

Brazilian Agricultural Research Corporation (EMBRAPA) fully annotated dataset for plant diseases. Plug and play installation over PiP.

Code for reproducing results in GraphMix paper

A distributed graph deep learning framework.

StellarGraph - Machine Learning on Graphs

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Multi-hop Question Generation with Graph Convolutional Network

Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).

It is a blueprint to data science from the mathematics to algorithms. It is not completed.

Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)

Spatial Temporal Graph Convolutional Networks for Sign Language (ST-GCN-SL) Recognition

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

A reading list for deep graph learning acceleration.

A graph-based deep learning framework for life science

The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

Representation Learning on Graphs with Jumping Knowledge Networks

A list of data mining and machine learning papers that I implemented in 2019.

RandomX OpenCL implementation

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

An index of recommendation algorithms that are based on Graph Neural Networks.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

Digital Pathology Whole Slide Image Analysis Toolbox

a browser-based DICOM viewer

Proof of concept whole slide imaging viewer on top of Google Cloud Healthcare DICOM API.

Digital Pathology AI

Python scripts for automatic Whole-Slide Image preprocessing.

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

Implementation of Cluster-to-Conquer: A Framework for End-to-End Multi-Instance Learning for Whole Slide Image Classification approach.

Predicting Axillary Lymph Node Metastasis in Early Breast Cancer Using Deep Learning on Primary Tumor Biopsy Slides, BCNB Dataset