machine-learning-with-graphs

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

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

A distributed graph deep learning framework.

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

An Industrial Graph Neural Network Framework

Next RecSys Library

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

resources for graph convolutional networks （图卷积神经网络相关资源）

Learning to Cluster Faces (CVPR 2019, CVPR 2020)

More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and (cbam，dcn and so on), and tensorrt