Large Scale Data

4 projects

Showing 4 of 4 projects

A WebGL-powered geospatial data visualization and analysis engine for building high-performance maps and spatial applications.

A distributed system for learning graph embeddings from large-scale graphs with billions of entities and trillions of edges.

A graph database framework for storing and querying large-scale graphs with rich properties and in-database aggregation.

An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.

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