PG2Net: Personalized and Group PreferenceGuided Network for Next Place Prediction

Last update: Dec 20, 2022

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Deep Learning PG2Net

Overview

PG2Net

PG2Net:Personalized and Group Preference Guided Network for Next Place Prediction

Datasets

Experiment results on two Foursquare check-in datasets [NYC,TKY] and one mobile phone dataset [CDRs]

Requirements

Python 3.6+
Pytorch 1.4+

Project Structure

baselines
- Markov.py
- DeepMove.py Paper
- PLSPL.py Paper
- LSTPM.py Paper
codes
- main.py # setting parameters
- train.py # train model
- model.py # define models
- utils.py # define tools

Usage

The "distance.pkl" is generated by the "caculate_poi_distance" function in the "utils.py".
The "cid_time.pkl" is generated by the "caculate_time_cid" function in the "utils.py".
The "loc.emb" and "cid.emb" are generated by the "construc_graph" function in the "utils.py" and Node2vec.
Train model #python main.py

Owner

Urban Mobility

GitHub Repository

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PG2Net: Personalized and Group PreferenceGuided Network for Next Place Prediction

Related tags

Overview

PG2Net

Datasets

Requirements

Project Structure

Usage

Owner

Urban Mobility

PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE).

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

Trafffic prediction analysis using hybrid models - Machine Learning

Implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Environments.

A python-image-classification web application project, written in Python and served through the Flask Microframework

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

Mahadi-Now - This Is Pakistani Just Now Login Tools

This is the pytorch implementation for the paper: Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, which is in submission to TPAMI

Boostcamp CV Serving For Python

MPViT:Multi-Path Vision Transformer for Dense Prediction

Codebase for arXiv preprint "NeRF++: Analyzing and Improving Neural Radiance Fields"

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

Generative Adversarial Text-to-Image Synthesis

Official implementation of the paper "Lightweight Deep CNN for Natural Image Matting via Similarity Preserving Knowledge Distillation"

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

Semi-supervised learning for object detection

Pytorch implementation of Learning with Opponent-Learning Awareness

Multi-layer convolutional LSTM with Pytorch

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

[ICCV 2021] Deep Hough Voting for Robust Global Registration

PG2Net: Personalized and Group PreferenceGuided Network for Next Place Prediction

Related tags

Overview

PG2Net

Datasets

Requirements

Project Structure

Usage

Owner

Urban Mobility

PyTorch implementation of deep GRAph Contrastive rEpresentation learning (GRACE).

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

Trafffic prediction analysis using hybrid models - Machine Learning

Implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Environments.

A python-image-classification web application project, written in Python and served through the Flask Microframework

Official tensorflow implementation for CVPR2020 paper “Learning to Cartoonize Using White-box Cartoon Representations”

Mahadi-Now - This Is Pakistani Just Now Login Tools

This is the pytorch implementation for the paper: *Learning Accurate Performance Predictors for Ultrafast Automated Model Compression*, which is in submission to TPAMI

Boostcamp CV Serving For Python

MPViT:Multi-Path Vision Transformer for Dense Prediction

Codebase for arXiv preprint "NeRF++: Analyzing and Improving Neural Radiance Fields"

DirectVoxGO reconstructs a scene representation from a set of calibrated images capturing the scene.

Generative Adversarial Text-to-Image Synthesis

Official implementation of the paper "Lightweight Deep CNN for Natural Image Matting via Similarity Preserving Knowledge Distillation"

Tools to create pixel-wise object masks, bounding box labels (2D and 3D) and 3D object model (PLY triangle mesh) for object sequences filmed with an RGB-D camera.

Semi-supervised learning for object detection

Pytorch implementation of Learning with Opponent-Learning Awareness

Multi-layer convolutional LSTM with Pytorch

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

[ICCV 2021] Deep Hough Voting for Robust Global Registration

This is the pytorch implementation for the paper: Learning Accurate Performance Predictors for Ultrafast Automated Model Compression, which is in submission to TPAMI