A professional list on Multi-Modalities For Time Series Analysis (MM4TSA) Papers and Resource.

This is an official PyTorch implementation of our NeurIPS 2023 paper "GeoCLIP: Clip-Inspired Alignment between Locations and Images for Effective Worldwide Geo-localization"

An Open Source Spatio-Temporal Prediction Package

A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery (EMNLP'24)

[TITS2025] Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction

A multivariate algorithm to detect breakpoints using multispectral time series.

The official implementation of "COLA: Cross-city Mobility Transformer for Human Trajectory Simulation".

[TKDE 2024] Official Code of the paper "Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting"

Code for "Deep Learning Models for Water Stage Prediction in South Florida", accepted by Journal of Water Resources Planning and Management.

[NeurIPS'2023] "GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks"

A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.

Large Language Models as Human Mobility Predictors

GPU Accelerated t-SNE for CUDA with Python bindings

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting (NeurIPS 2023)

[AAAI 2022] Dataset and pytorch codes for the paper titled "StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts" in AAAI 2022 (Oral)

Codes and data for AAAI-24 paper "Advancing Spatial Reasoning in Large Language Models: An In-depth Evaluation and Enhancement Using the StepGame Benchmark"

EB1A Full Application - I-140 and I-485

When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting? (SIGSPATIAL 2022)

[CIKM 2022] Source codes of CIKM2022 Full Paper "Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities"

MGeo: Multi-Modal Geographic Language Model Pre-Training

Open-source code of TransGTR.

An Awesome Collection of Urban Foundation Models (UFMs).

[IJCAI-24] Spatial-Temporal-Decoupled Masked Pre-training for Spatiotemporal Forecasting

Code for our SIGKDD'22 paper Pre-training-Enhanced Spatial-Temporal Graph Neural Network For Multivariate Time Series Forecasting.

Geo-knowledge-guided GPT models for disaster response