Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Last update: Dec 14, 2022

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Overview

DHCN

Codes for AAAI 2021 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'.

Please note that the default link of our paper in google scholar links to an obsolete version with incorrect experimental results.

The latest version of our paper is available at:

https://ojs.aaai.org/index.php/AAAI/article/view/16578

Environments: Python3, Pytorch 1.6.0, Numpy 1.18.1

Datasets are available at Dropbox: https://www.dropbox.com/sh/j12um64gsig5wqk/AAD4Vov6hUGwbLoVxh3wASg_a?dl=0 The datasets are already preprocessed and encoded by pickle.

For Diginetica, the best beta value is 0.01; for Tmall, the best beta value is 0.02.

Some people may encounter a cudaError in line 50 or line 74 when running our codes if your numpy and pytorch version is different with ours. Currently, we haven't found the solution to resolve the version problem. If you have this problem, please try to change numpy and pytorch version same with ours.

Owner

Xin Xia

PhD Candidate in The University of Queensland

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Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

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Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

Related tags

Overview

DHCN

Please note that the default link of our paper in google scholar links to an obsolete version with incorrect experimental results.

The latest version of our paper is available at:

Owner

Xin Xia

Respiratory Health Recommendation System

Self-supervised Graph Learning for Recommendation

Temporal Meta-path Guided Explainable Recommendation (WSDM2021)

This is our Tensorflow implementation for "Graph-based Embedding Smoothing for Sequential Recommendation" (GES) (TKDE, 2021).

Plex-recommender - Get movie recommendations based on your current PleX library

Code for MB-GMN, SIGIR 2021

This library intends to be a reference for recommendation engines in Python

E-Commerce recommender demo with real-time data and a graph database

Group-Buying Recommendation for Social E-Commerce

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

Codes for AAAI'21 paper 'Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation'

RecList is an open source library providing behavioral, "black-box" testing for recommender systems.

Handling Information Loss of Graph Neural Networks for Session-based Recommendation

Dual Graph Attention Networks for Deep Latent Representation of Multifaceted Social Effects in Recommender Systems

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