ICDM-2020 《Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks》
dataprocess:
python dataProcess.py --dataset [CiaoDVD,Epinions,Douban] --rate [0.8,0.6]
train SR-HGNN model:
python main.py --dataset CiaoDVD --rate 0.8 --batch 128 --lr 0.001 --layer [16,16] --r 0.001 --r2 0.2 --r3 0.01 --dgi_hide_dim 500 --dgi_lr 0.001 --lam_t 0.05 --lam_r 0.1
DHCN Codes for AAAI 2021 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'. Please note that the default link
LightFM Build status Linux OSX (OpenMP disabled) Windows (OpenMP disabled) LightFM is a Python implementation of a number of popular recommendation al
A library of Recommender Systems This repository provides a summary of our research on Recommender Systems. It includes our code base on different rec
Recommender systems are the systems that are designed to recommend things to the user based on many different factors. The recommender system deals with a large volume of information present by filte
Dependencies NOTE: This code has been updated, if you were using this repo earlier and experienced issues that was due to an outaded codebase. Please
Annoy Annoy (Approximate Nearest Neighbors Oh Yeah) is a C++ library with Python bindings to search for points in space that are close to a given quer
LESSR A PyTorch implementation of LESSR (Lossless Edge-order preserving aggregation and Shortcut graph attention for Session-based Recommendation) fro
MB-GMN Code for MB-GMN, SIGIR 2021 For Beibei data, run python .\labcode.py For Tmall data, run python .\labcode.py --data tmall --rank 2 For IJCAI
Implicit Fast Python Collaborative Filtering for Implicit Datasets. This project provides fast Python implementations of several different popular rec
Book Recommendation System A recommendation system for suggesting new books given similar books. Datasets Dataset Kaggle Dataset Notebooks goodreads-E
RecList is an open source library providing behavioral, "black-box" testing for recommender systems.
FairGo WWW2021 Learning Fair Representations for Recommendation: A Graph-based Perspective As a key application of artificial intelligence, recommende
Reinforcement Knowledge Graph Reasoning for Explainable Recommendation This repository contains the source code of the SIGIR 2019 paper "Reinforcement
COTREC Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'. Requirements: Python 3.7, Pytorch 1.6.0 Best Hype
SEFrame This repository contains the code for the paper "An Efficient and Effective Framework for Session-based Social Recommendation". Requirements P
plex-recommender Description: Get movie/tv recommendations based on your current
This repository contains code to train and test GNN models for recommendation, mainly using the Deep Graph Library (DGL).
Spotlight uses PyTorch to build both deep and shallow recommender models. By providing both a slew of building blocks for loss functions (various poin
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation This repository contains PyTorch Implementation of ICDMW 2020 (NeuRec @ I
Crab - A Python Library for Recommendation Engines
124 Dec 14, 2022
4.2k Jan 02, 2023
980 Jan 05, 2023
3 Feb 15, 2022
43 Nov 25, 2022
10.6k Jan 01, 2023
62 Dec 03, 2022
32 Dec 04, 2022
3k Dec 31, 2022
2 Jan 06, 2022
375 Dec 30, 2022
39 Oct 26, 2022
197 Dec 28, 2022
5 Jul 19, 2022
217 Jan 04, 2023
2.8k Dec 29, 2022
25 Nov 17, 2022
85 Oct 04, 2021