Pttery's Stars
OI-wiki/OI-wiki
:star2: Wiki of OI / ICPC for everyone. (某大型游戏线上攻略,内含炫酷算术魔法)
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
tkipf/gcn
Implementation of Graph Convolutional Networks in TensorFlow
princewen/tensorflow_practice
tensorflow实战练习,包括强化学习、推荐系统、nlp等
tkipf/pygcn
Graph Convolutional Networks in PyTorch
datawhalechina/fun-rec
推荐系统入门教程,在线阅读地址:https://datawhalechina.github.io/fun-rec/
alibaba/x-deeplearning
An industrial deep learning framework for high-dimension sparse data
LuckyZXL2016/Movie_Recommend
基于Spark的电影推荐系统,包含爬虫项目、web网站、后台管理系统以及spark推荐系统
wzhe06/SparrowRecSys
A Deep Learning Recommender System
ZiyaoGeng/RecLearn
Recommender Learning with Tensorflow2.x
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
microsoft/gated-graph-neural-network-samples
Sample Code for Gated Graph Neural Networks
CRIPAC-DIG/SR-GNN
[AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"
Coder-Yu/SELFRec
An open-source framework for self-supervised recommender systems.
wusw14/GNN-in-RS
KingGugu/Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code
The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems
parisots/population-gcn
Graph CNNs for population graphs
xxlya/BrainGNN_Pytorch
A preliminary implementation of BrainGNN
SsGood/MMGL
Multi-modal Graph learning for Disease Prediction (IEEE Trans. on Medical imaging, TMI2022)
shahrukhx01/multitask-learning-transformers
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.
tsinghua-fib-lab/CLSR
The official implementation of "Disentangling Long and Short-Term Interests for Recommendation" (WWW '22)
LifangHe/BrainGNN_Pytorch
A preliminary implementation of BrainGNN
GuangqiWen/MVS-GCN
The official implementation of MVS-GCN
fuyuanlyu/OptEmbed
This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.
NIC-VICOROB/cnn-ms-lesion-segmentation
MS lesion segmentation using cascaded 3D convolutional neural networks
l-lyl/DPPLikelihoods4SeqRec
A PyTorch implementation of Determinantal Point Process Likelihoods for Sequential Recommendation
Forrest-Stone/MA-GNN
seuzjj/Diffusion_kernel_attention_network
Forrest-Stone/SA-GNN
The implemented code for ICONIP2021
Medical-Image-Analysis-Laboratory/MSLesions3D
Automated detection of multiple sclerosis white matter lesions using a 3D single shot detector