Stars
[TKDE 2020] Code and data for "Personalized long-and short-term preference learning for next POI recommendation."
[WWW 2019] DPLink: User Identity Linkage via Deep Neural Network From Heterogeneous Mobility Data, move from https://github.com/vonfeng/DPLink
Paper & Code & Dataset Collection of Spatial-Temporal Data Mining.
Identifying Human Mobility via Trajectory Embeddings(TUL)
Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs
Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
The official implementation of the paper: "SST: Multi-Scale Hybrid Mamba-Transformer Experts for Long-Short Range Time Series Forecasting"
The official implementation for "Spherical Transformer for LiDAR-based 3D Recognition" (CVPR 2023).
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
The datasets can be used for POI/next-POI recommendation, trajectory recommendation, friends recommendation (link prediction), activity recommendations, group recommendation and community discovery…
Paper Collection of Trajectory Data Mining
Codes for AAMAS'20 Paper-Trajectory-User Linking with Attentive Recurrent Network
A professional list of Deep Learning and Large (Language) Models (LM, LLM, FM) for Trajectory Data Management and Mining.
reproduce of Contextual Spatio-Temporal Graph Representation Learning for Human Mobility Mining
[ICML'2023] "GraphST: Spatial-Temporal Graph Learning with Adversarial Contrastive Adaptation"
Code and data of the paper "Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering"
The code and dataset for paper "MAUIL: Multi-level Attribute Embedding for Semi-supervised User Identity Linkage"