fanxiaming

LLMRec

[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

BM3

Pytorch implementation for "Bootstrap Latent Representations for Multi-modal Recommendation"-WWW'23

MMRec

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Recommendation-with-modality-information

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Neural-Collaborative-Filtering

pytorch version of NCF

ConvNCF

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

Recommender-System-Datasets

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Recommend-System-tf2.0

原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！

neural_collaborative_filtering

Neural Collaborative Filtering

MPDRL

DiffMG

[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

GEMS

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

LightGCN-PyTorch

The PyTorch implementation of LightGCN

pytorch_geometric

Graph Neural Network Library for PyTorch

KDD2019_HetGNN

code of HetGNN

HIN-Datasets-for-Recommendation-and-Network-Embedding

Heterogeneous Information Network Datasets for Recommendation and Network Embedding

HeGAN

Source code for KDD 2019 paper "Adversarial Learning on Heterogeneous Information Networks"

dataset-examples

Samples for users of the Yelp Academic Dataset

rumour-spread-model

Simulating the spread of a rumour in a social network with Python

Rumour_Spreading_Modelling

Rumour Modelling On Higgs Twitter data set

epidemic-simulation

Simple simulation of epidemic problem that models a rumour spread

SSIIRmodel

SSIIR model in MATLAB for "Modeling the Impact of Education on Rumor Spread" paper

RecommenderSystem-DataSet

This repository contains some datasets that I have collected in Recommender Systems.

OpenHINE

An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)

deepwalk

DeepWalk - Deep Learning for Graphs

Modified-SEIRD-Model

The upsurge of Coronavirus has become widespread all around the world. More than 200 countries got affected by Coronavirus. Research works are being conducted to study the pattern of this infectious disease to minimize the transmission of this virus. Epidemiological models are one of the major approaches being used as part of the study. These models help in analyses of different aspects associated with a contagious disease such as death rate, recovery rate, infected rate. Models like SIR, SEIR, SIQR are being promptly used to investigate the patterns of Coronavirus in different countries. In this paper, we proposed a modified SEIRD model to study the trend of this infectious disease concerning Bangladesh. The SEIRD model was developed further by incorporating two new factors isolation and social distancing. We will observe the effect of these factors on the transmission rate of this virus and make predictions about the related factors. Results show that our predicted results well match the real world scenario.