Pinned Repositories
AHN
AI-Surveys
整理AI相关领域的一些综述
awesome-2vec
Curated list of 2vec-type embedding models
Awesome-Best-Papers
Collect awesome best papers from top AI conferences.
Awesome-GNN-Recommendation
Graph Neural Network
CapsNet-Keras
A Keras implementation of CapsNet in NIPS2017 paper "Dynamic Routing Between Capsules". Now test error ＝ 0.34%.
HCCF
Code for HCCF model proposed in Hypergraph Contrastive Collaborative Filtering in SIGIR'2022
KGAT-pytorch
NGCF-DGL
【推荐系统中的神经网络】何向南团队NGCF模型基于DGL的实现
SNN_CV_Applications_Resources
Paper list for SNN based computer vision tasks.
FKCHAN's Repositories
FKCHAN/HCCF
Code for HCCF model proposed in Hypergraph Contrastive Collaborative Filtering in SIGIR'2022
FKCHAN/Awesome-Best-Papers
Collect awesome best papers from top AI conferences.
FKCHAN/Awesome-GNN-Recommendation
Graph Neural Network
FKCHAN/ComiRec
Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
FKCHAN/contextual_topic_identification
Steam review texting embedding analysis
FKCHAN/CPF
The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation Framework
FKCHAN/CubeRec
FKCHAN/Datasets-for-Recommender-Systems
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
FKCHAN/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
FKCHAN/Finding-Frequently-Asked-Questions
Code for Master thesis by David Zomerdijk. It implements several neural topic models and conditional language models
FKCHAN/GNUD
Source code for ACL 2020 paper “Graph Neural News Recommendation with Unsupervised Preference Disentanglement”
FKCHAN/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
FKCHAN/KDDCUP_2020_MultimodalitiesRecall_2nd_Place
FKCHAN/KGCL-SIGIR22
FKCHAN/KHGT
Code for KHGT model, AAAI2021
FKCHAN/MCCLK
The source code for "Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System".
FKCHAN/ml-surveys
📋 Survey papers summarizing advances in machine learning.
FKCHAN/MMGCN
MMGCN：Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease Association Prediction
FKCHAN/MMGCN-1
MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video
FKCHAN/Neu-Review-Rec
A Toolkit for Neural Review-based Recommendation models with Pytorch.
FKCHAN/Neural_Topic_Models
Implementation of topic models based on neural network approaches.
FKCHAN/NeuRec
Next RecSys Library
FKCHAN/nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
FKCHAN/pytorch-learning
FKCHAN/RecBole
A unified, comprehensive and efficient recommendation library
FKCHAN/Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
FKCHAN/recommenders
Best Practices on Recommendation Systems
FKCHAN/ReviewGraph
[SIGIR 2022] A Review-aware Graph Contrastive Learning Framework for Recommendation
FKCHAN/TensorFlow2.0-Notes
Tensorflow 2.0 Notes 提供了TF2.0案例实战以及TF2.0基础实战，目标是帮助那些希望和使用Tensorflow 2.0进行深度学习开发和研究的朋友快速入门，其中包含的Tensorflow 2.0教程基本通过测试保证可以成功运行(有问题的可以提issue，笔记网站正在建设中)。
FKCHAN/The-NLP-Pandect
A comprehensive reference for all topics related to Natural Language Processing