Papers with Code 아카이브

Spatio-Temporal Forecasting

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코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ArsamAryandoust/DataSelectionMaps

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Enhanced spatio-temporal electric load forecasts using less data with active deep learning

https://github.com/ChenLiu-1996/ImageFlowNet

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ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images

https://github.com/LeiBAI/AGCRN

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Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

https://github.com/Mu-Bilal/Temporal-Graph-MLP-Mixer

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Temporal Graph MLP Mixer for Spatio-Temporal Forecasting

https://github.com/Pachark/SVQ-Forecasting

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Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach

https://github.com/YangXiaojie1998/CausalMob

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CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events

https://github.com/aminsn/sert2023

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SERT: A Transfomer Based Model for Spatio-Temporal Sensor Data with Missing Values for Environmental Monitoring

https://github.com/amirstar/Deep-Forecast

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Deep Forecast: Deep Learning-based Spatio-Temporal Forecasting

https://github.com/andrewzm/deepIDE

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Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting

https://github.com/beginner-sketch/mossl

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Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning

https://github.com/bird-tao/clcrn

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Conditional Local Convolution for Spatio-temporal Meteorological Forecasting

https://github.com/bycnfz/weather2k

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Weather2K: A Multivariate Spatio-Temporal Benchmark Dataset for Meteorological Forecasting Based on Real-Time Observation Data from Ground Weather Stations

https://github.com/chiragraman/social-processes

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Social Processes: Self-Supervised Meta-Learning over Conversational Groups for Forecasting Nonverbal Social Cues

https://github.com/coco0106/MO-STEP

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STEMO: Early Spatio-temporal Forecasting with Multi-Objective Reinforcement Learning

https://github.com/crisie/udiva

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Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios

https://github.com/echo-ji/st-ssl

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Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction

https://github.com/echo-ji/stden

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STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction

https://github.com/fbohu/Deep-Spatio-Temporal-Forecasting-of-Electrical-Vehicle-Charging-Demand

공식 코드

Deep Spatio-Temporal Forecasting of Electrical Vehicle Charging Demand

https://github.com/fmpr/mobility-baselines

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On the importance of stationarity, strong baselines and benchmarks in transport prediction problems

https://github.com/google-research/zapbench

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ZAPBench: A Benchmark for Whole-Brain Activity Prediction in Zebrafish

https://github.com/gorgen2020/dvgnn

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Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting

https://github.com/hkuds/flashst

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FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction

https://github.com/idea-iitd/frigate

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FRIGATE: Frugal Spatio-temporal Forecasting on Road Networks

https://github.com/jeongwhanchoi/STG-NCDE

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Graph Neural Controlled Differential Equations for Traffic Forecasting

https://github.com/jingweizuo/purpleairsf

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Unleashing Realistic Air Quality Forecasting: Introducing the Ready-to-Use PurpleAirSF Dataset

https://github.com/kaka0910/M4Fog

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M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere

https://github.com/larsbentsen/fftransformer

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Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures

https://github.com/learning-of-dynamic-processes/kernelngrcvolterra

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Infinite-dimensional next-generation reservoir computing

https://github.com/leemingo/cy2mixer

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Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks

https://github.com/liyaguang/DCRNN

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Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

https://github.com/louisserrano/coral

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Operator Learning with Neural Fields: Tackling PDEs on General Geometries

https://github.com/malayp717/pm2.5

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Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architecture

https://github.com/martenlienen/finite-element-networks

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Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks

https://github.com/mengcz13/KDD2021_CNFGNN

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Cross-Node Federated Graph Neural Network for Spatio-Temporal Data Modeling

https://github.com/networkslab/rnn_flow

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RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting

https://github.com/rdemedrano/crann_traffic

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A Spatio-Temporal Spot-Forecasting Framework for Urban Traffic Prediction

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