tgl
Temporal graph trainer
A framework for training temporal graphs on large datasets
193 stars
11 watching
31 forks
Language: Python
last commit: about 1 year ago Related projects:
Repository | Description | Stars |
---|---|---|
| An implementation of an algorithm for learning trajectory representations in temporal graphs | 18 |
| This project provides a framework for evaluating and comparing different deep learning architectures for time series classification tasks. | 1,576 |
| A PyTorch extension for building temporal graph neural networks with support for recurrent and attention-based models | 2,694 |
| A PyTorch implementation of a representation learning framework for dynamic temporal networks | 362 |
| An experimental framework for developing and testing deep learning models on time-series prediction tasks | 79 |
| An AutoML framework for graph machine learning | 12 |
| A comprehensive library for processing spatiotemporal data with PyTorch | 281 |
| A PyTorch implementation of Temporal Segment Networks (TSN) for action recognition and video understanding. | 1,066 |
| A lightweight library for defining and training neural networks in TensorFlow. | 373 |
| Transfers visual prompt generators across large language models to reduce training costs and enable customization of multimodal LLMs | 270 |
| A framework to perform time series forecasting using machine learning models on large datasets. | 924 |
| A package providing graph statistical algorithms and utilities for processing and analyzing graphs | 833 |
| Trains artificial neural networks using the genetic algorithm | 241 |
| A machine learning tool for time series data analysis and modeling | 573 |
| A framework for decentralized multi-task learning of graph neural networks on molecular data with guaranteed convergence | 44 |