The PyTorch implementation of paper REST: Debiased Social Recommendation via Reconstructing Exposure Strategies

Related tags

Deep LearningREST
Overview

REST

The PyTorch implementation of paper REST: Debiased Social Recommendation via Reconstructing Exposure Strategies.

Usage

Download dataset

Download datasets: Ciao, Epinions, Yelp

Then unzip them into the directory datasets and run preprocess_yelp.py.

└── datasets
    ├── Ciao
    │   ├── rating_with_timestamp.mat
    │   ├── trust.mat
    ├── Epinions
    │   ├── rating_with_timestamp.mat
    │   ├── trust.mat
    ├── Yelp
    │   ├── yelp_academic_dataset_review.json
    │   ├── yelp_academic_dataset_user.json
    │   ├── noiso_reid_u2uir.npz
    │   ├── ...

Run

    python ./run_rate/run_rest_rate_ciao.py

During the training, we can obtain some logs and model-checkpoints in the directory logs and saved_models,

Results

Model Ciao RMSE Epinions RMSE Yelp RMSE
PMF 1.1936±0.0019 1.2755±0.0022 1.2454±0.0011
NeuMF 0.9828±0.0022 1.0838±0.0015 1.1958±0.0005
MultiVAE 1.1908±0.0014 1.2104±0.0039 1.2944±0.0020
RecVAE 1.1787±0.0022 1.1946±0.0038 1.2385±0.0014
CausE 1.0003±0.0013 1.0705±0.0013 1.2039±0.0015
CVIB-MF 1.2001±0.0011 1.2477±0.0003 1.3189±0.0024
CVIB-NCF 1.0462±0.0013 1.2477±0.0003 1.3613±0.0043
MACR-MF 1.1859±0.0030 1.2364±0.0031 1.2344±0.0004
DecRS 0.9875±0.0033 1.0617±0.0033 -
GraphRec 0.9743±0.0021 1.0567±0.0019 1.1968±0.0017
NGCF 1.0135±0.0010 1.1286±0.0017 1.2231±0.0017
LightGCN 1.1919±0.0014 1.2025±0.0005 1.2444±0.0019
REST 0.9635±0.0009 1.0413±0.0007 1.1733±0.0006

Detailed results can be found in the paper.

Owner
DMIRLAB
DMIRLAB Public Repository
DMIRLAB
GitHub Repository
An official implementation of "SFNet: Learning Object-aware Semantic Correspondence" (CVPR 2019, TPAMI 2020) in PyTorch.

PyTorch implementation of SFNet This is the implementation of the paper "SFNet: Learning Object-aware Semantic Correspondence". For more information,

CV Lab @ Yonsei University 87 Dec 30, 2022
3D Avatar Lip Syncronization from speech (JALI based face-rigging)

visemenet-inference Inference Demo of "VisemeNet-tensorflow" VisemeNet is an audio-driven animator centric speech animation driving a JALI or standard

Junhwan Jang 17 Dec 20, 2022
Implementation of Common Image Evaluation Metrics by Sayed Nadim (sayednadim.github.io). The repo is built based on full reference image quality metrics such as L1, L2, PSNR, SSIM, LPIPS. and feature-level quality metrics such as FID, IS. It can be used for evaluating image denoising, colorization, inpainting, deraining, dehazing etc. where we have access to ground truth.

Image Quality Evaluation Metrics Implementation of some common full reference image quality metrics. The repo is built based on full reference image q

Sayed Nadim 10 Jan 01, 2023
Indonesian Car License Plate Character Recognition using Tensorflow, Keras and OpenCV.

Monopol Indonesian Car License Plate (Indonesia Mobil Nomor Polisi) Character Recognition using Tensorflow, Keras and OpenCV. Background This applicat

Jayaku Briliantio 3 Apr 07, 2022
Zsseg.baseline - Zero-Shot Semantic Segmentation

This repo is for our paper A Simple Baseline for Zero-shot Semantic Segmentation

98 Dec 20, 2022
Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data

Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data This is the official PyTorch implementation of the SeCo paper: @articl

ElementAI 101 Dec 12, 2022
LinkNet - This repository contains our Torch7 implementation of the network developed by us at e-Lab.

LinkNet This repository contains our Torch7 implementation of the network developed by us at e-Lab. You can go to our blogpost or read the article Lin

e-Lab 158 Nov 11, 2022
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning Tensorflow code and models for the paper: Large Scale Fine-Grained Categ

Yin Cui 187 Oct 01, 2022
Baseline of DCASE 2020 task 4

Couple Learning for SED This repository provides the data and source code for sound event detection (SED) task. The improvement of the Couple Learning

21 Oct 18, 2022
ArcaneGAN by Alex Spirin

ArcaneGAN by Alex Spirin

Alex 617 Dec 28, 2022
An introduction to bioimage analysis - http://bioimagebook.github.io

Introduction to Bioimage Analysis This book tries explain the main ideas of image analysis in a practical and engaging way. It's written primarily for

Bioimage Book 20 Nov 28, 2022
Source Code for Simulations in the Publication "Can the brain use waves to solve planning problems?"

Code for Simulations in the Publication Can the brain use waves to solve planning problems? Installing Required Python Packages Please use Python vers

EMD Group 2 Jul 01, 2022
Galileo library for large scale graph training by JD

近年来，图计算在搜索、推荐和风控等场景中获得显著的效果，但也面临超大规模异构图训练，与现有的深度学习框架Tensorflow和PyTorch结合等难题。 Galileo（伽利略）是一个图深度学习框架，具备超大规模、易使用、易扩展、高性能、双后端等优点，旨在解决超大规模图算法在工业级场景的落地难题，提

JD Galileo Team 128 Nov 29, 2022
Real-time ground filtering algorithm of cloud points acquired using Terrestrial Laser Scanner (TLS)

This repository contains tools to simulate the ground filtering process of a registered point cloud. The repository contains two filtering methods. The first method uses a normal vector, and fit to p

5 Aug 25, 2022
Provide partial dates and retain the date precision through processing

Prefix date parser This is a helper class to parse dates with varied degrees of precision. For example, a data source might state a date as 2001, 2001

Friedrich Lindenberg 13 Dec 14, 2022
Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision

Traffic4D: Single View Reconstruction of Repetitious Activity Using Longitudinal Self-Supervision Project | PDF | Poster Fangyu Li, N. Dinesh Reddy, X

25 Dec 21, 2022
Intelligent Video Analytics toolkit based on different inference backends.

English | 中文 OpenIVA OpenIVA is an end-to-end intelligent video analytics development toolkit based on different inference backends, designed to help

Quantum Liu 15 Oct 27, 2022
Official PyTorch implementation for paper "Efficient Two-Stage Detection of Human–Object Interactions with a Novel Unary–Pairwise Transformer"

UPT: Unary–Pairwise Transformers This repository contains the official PyTorch implementation for the paper Frederic Z. Zhang, Dylan Campbell and Step

Frederic Zhang 109 Dec 20, 2022
Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.

Lunar Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs. About Lunar can be modified to work

Zeyad Mansour 276 Jan 07, 2023
Compare neural networks by their feature similarity

PyTorch Model Compare A tiny package to compare two neural networks in PyTorch. There are many ways to compare two neural networks, but one robust and

Anand Krishnamoorthy 181 Jan 04, 2023