aspem
HIN analysis toolset
Provides tools and code for analyzing and optimizing heterogeneous information networks with aspect-based embedding learning
Code and data for paper AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks
26 stars
4 watching
8 forks
Language: C++
last commit: over 8 years agoLinked from 1 awesome list
Related projects:
| Repository | Description | Stars |
|---|---|---|
| A PyTorch implementation of a deep learning model for semantic image segmentation | 1,598 | |
| Tools and resources for network monitoring and analysis used in the SANS SEC503 course | 214 | |
| An algorithm for learning feature representations in multi-layer networks | 81 | |
| A deep learning framework for semantic segmentation with spatial attention mechanisms | 218 | |
| Fast network analysis library using contraction hierarchies for accessibility metrics and shortest paths | 388 | |
| Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. | 200 | |
| A toolbox to help understand neural networks' predictions by providing different analysis methods and a common interface. | 1,271 | |
| Improves object detection by generating region proposals with increased adaptivity. | 156 | |
| Tools for analyzing and processing sequence data from the Online Encyclopedia of Integer Sequences. | 46 | |
| Develops an instance segmentation and panoptic segmentation model for computer vision tasks. | 648 | |
| An R package to analyze two-mode networks and extract their binary backbone. | 9 | |
| Training and deploying large language models on computer vision tasks using region-of-interest inputs | 517 | |
| A collection of resources and tools for video analysis using deep learning and multi-modal learning techniques. | 767 | |
| An application of machine learning to cluster similar data points from various sources | 0 | |
| Tool for visualizing threat analysis data | 47 |