IEEE

Tree segmentation of LiDAR point clouds using a graph-based algorithm

Abstract: LiDAR is one of the most promising scanning technologies with a wide range of applications. It is commonly used for geodetic and cartographic tasks, allowing for the scanning and ...
IEEE

Path-Tree Optimization in Discrete Partially Observable Environments Using Rapidly-Exploring Belief-Space Graphs

Abstract: Robots often need to solve path planning problems where essential and discrete aspects of the environment are partially observable. This introduces a multi-modality, where the robot must be ...
GitHub

[NBME] Interpretable identification of cancer genes across biological networks via transformer-powered graph representation learning

This project is a Transformer-based graph representation learning framework for pan-cancer gene identifications. It applies to both homogeneous networks (PPI network)and heterogeneous networks. TREE ...
GitHub

GraphStorm: Enterprise graph machine learning framework for billion-scale graphs

GraphStorm is an enterprise-grade graph machine learning (GML) framework designed for scalability and ease of use. It simplifies the development and deployment of GML models on industry-scale graphs ...