fau-is / grmLinks
☆11Updated 3 years ago
Alternatives and similar repositories for grm
Users that are interested in grm are comparing it to the libraries listed below
Sorting:
- Transformer Network for Predictive Business Process Monitoring Tasks☆42Updated 8 months ago
- Business Process Encoding☆12Updated 10 months ago
- https://arxiv.org/abs/2009.01561☆23Updated 2 years ago
- ☆20Updated 3 years ago
- ☆13Updated 4 years ago
- Repository containing all implementations and experiments for the EDBN model.☆18Updated 3 years ago
- Comparative experimental evaluation of outcome-oriented predictive monitoring techniques on a benchmark consisting of 24 real-world datas…☆32Updated 4 years ago
- A Python package for process-mining with DECLARE models.☆16Updated 11 months ago
- ☆11Updated 3 years ago
- Learning Accurate Generative Models of Business Processes With LSTM Neural Networks☆30Updated last year
- Datasets for predictive monitoring of business processes.☆10Updated 4 years ago
- Semi-Supervised Hierarchical Recurrent Graph Neural Network for City-Wide Parking Availability Prediction☆42Updated 2 years ago
- Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.☆174Updated 3 years ago
- Code for the paper "LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances"☆9Updated 7 years ago
- ☆42Updated 3 years ago
- A PyTorch implementation of T-GCN☆62Updated 2 years ago
- [CIKM'21] Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction☆17Updated 3 years ago
- Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)☆164Updated 2 years ago
- Official repo to paper☆13Updated 2 years ago
- Counterfactual Explanations for Multivariate Time Series Data☆32Updated last year
- ☆107Updated 5 years ago
- [ICDE'20] Predicting Origin-Destination Flow via Multi-Perspective Graph Convolutional Network (Pytorch Replication)☆21Updated 4 years ago
- ☆11Updated 9 months ago
- ☆44Updated 3 years ago
- Causal discovery for time series☆98Updated 3 years ago
- Continuous Industrial Process datasets for benchmarking Causal Discovery methods☆31Updated 2 years ago
- Learning complex time series forecasting models usually requires a large amount of data, as each model is trained from scratch for each t…☆43Updated 3 years ago
- Multi-sensor traffic flow forecasting.☆14Updated 2 years ago
- ☆14Updated 2 years ago
- Code for the paper "Predicting origin-destination ride-sourcing demand with a spatio-temporal encoder-decoder residual multi-graph convol…☆15Updated 4 years ago