Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

Last update: Dec 09, 2022

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Deep Learning COTREC

Overview

COTREC

Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

Requirements: Python 3.7, Pytorch 1.6.0

Best Hyperparameter:

Tmall: beta=0.01, alpha=0.005, eps=0.2
RetailRocket: beta=0.01, alpha=0.005, eps=0.2
Diginetica: beta=0.001, alpha=0.005, eps=0.5

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

Owner

Xin Xia

PhD Candidate in The University of Queensland

GitHub Repository

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Codes for CIKM'21 paper 'Self-Supervised Graph Co-Training for Session-based Recommendation'.

Related tags

Overview

COTREC

Owner

Xin Xia

A library of scripts that interact with the PythonTurtle module to create games, drawings, and more

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework

Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection

Pcos-prediction - Predicts the likelihood of Polycystic Ovary Syndrome based on patient attributes and symptoms

Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.

This repository contains the code used for Predicting Patient Outcomes with Graph Representation Learning (https://arxiv.org/abs/2101.03940).

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

The Official Repository for "Generalized OOD Detection: A Survey"

Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"

Implementation of Pix2Seq in PyTorch

Generative Query Network (GQN) in PyTorch as described in "Neural Scene Representation and Rendering"

CondenseNet V2: Sparse Feature Reactivation for Deep Networks

In-place Parallel Super Scalar Samplesort (IPS⁴o)

Pytorch implementation of COIN, a framework for compression with implicit neural representations 🌸

LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image.

Pytorch implementation for the EMNLP 2020 (Findings) paper: Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering

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