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Starred repositories
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
GREAD: Graph Neural Reaction-Diffusion Networks, ICML 2023
A curated list of state-of-the-art papers on deep learning for universal representations of time series.
Code of “STG4Traffic: A Survey and Benchmark of Spatial-Temporal Graph Neural Networks for Traffic Prediction”.
Scraping repository of the most relevant topics with regards to Spatio-Temporal Neural Networks available in the arXiv archive. The repository and workflow is based on https://github.com/SpikingChe…
[IEEE TKDE | TITS 2023] "Learning Large Neighborhood Search for Vehicle Routing in Airport Ground Handling" | "Neural Airport Ground Handling"
Time Series Analysis Models Source Code with Deep Learning Algorithms
Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the …
A Library for Advanced Deep Time Series Models.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)
Papers about explainability of GNNs
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
A pytorch library for graph and hypergraph computation.
chengshifen / PINNpapers
Forked from idrl-lab/PINNpapersMust-read Papers on Physics-Informed Neural Networks.
This is the official release code of AAAI2023 accepted paper: "Spatial temporal Neural Structural Causal Models for Bike Flow Prediction"
A curated list of awesome responsible machine learning resources.
Papers on Spatial-Temporal Graph Neural Networks
This repository contains the code of the deep MARL-based dynamic scheduling algorithms in job shop and flexible job shop
This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.
The code for the research article "Recognizing mixed urban functions from human activities using representation learning methods".
Spatial–Temporal Dynamic Graph Convolutional Network With Interactive Learning for Traffic Forecasting