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Pytorch Replication of AAAI'19 Paper: Spatiotemporal Multi-Graph Convolution Network for Ride-Hailing Demand Forecasting
Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting implementation with keras
This is a PyTorch implementation of the ST-MGCN model in <Spatiotemporal Multi-Graph Convolution Network for Ride-hailing Demand Forecasting> (http://www-scf.usc.edu/~yaguang/papers/aaai19_multi_graph_convolution.pdf)
ST-SHN, IJCAI 2021
ST-SiameseNet (KDD'20)
Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020
Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation
STAR-GCN: Stacked and Reconstructed Graph Convolutional Networks for Recommender Systems
Code for WWW'22 "Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data"
Code for STaTRL: Spatial-Temporal and Text Representation Learning for POI recommendation, Applied Intelligence.
Pytorch Implementation of the paper Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction
Keras implementation of STF-RNN: Space Time Features-based Recurrent Neural Network for Predicting People Next Location
Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Modeling Spatio-temporal Neighbourhood for Personalized Point-of-interest Recommendation Pytorch
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting implementation with keras
Personalized spatio-temporal graph network for the next POI recommendation
Code for STHSL model proposed in Spatial-Temporal Hypergraph Self-Supervised Learning for Urban Crime Prediction in ICDE'2022
A Spatio-Temporal Interval-Aware Sequential POI Recommendation
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts
A Structured Self-attentive Sentence Embedding
Model proposed in 'A Win-Win Solution of Next POI Recommendation for Users-Businesses with Uncertain Check-ins'
Codes for STUaNet published in WWW2021
Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation
A slim tensorflow wrapper that provides syntactic sugar for tensor variables. This library will be helpful for practical deep learning researchers not beginners.
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
t2vec: Deep Representation Learning for Trajectory Similarity Computation
The source code for Temporal Attention-Gated Model.
Pre-training Time-Aware Location Embeddings from Spatial-Temporal Trajectories.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.