DGL

Curated by Signal

Python-based libraries for DL frameworks

Enterprise Software & Infrastructuredgl.ai

Overview

DGL (Deep Graph Library) provides a Python-based library for implementing graph neural networks on top of existing DL frameworks. The Python package interfaces between existing tensor libraries and data being expressed as graphs. Claims that the system can scale a graph of 50M nodes and 150M edges on a P3.8xlarge instance, with 160s per epoch, on SSE with the MXNet/Gluon backend. The product is in the Beta stage, as of August 2019 and can work on all Linux distributions, macOS X and Windows 10.

Key facts

Founded: 2018
Headquarters: New York, United States
Stage: Sign up to view
Industry: Enterprise Software & Infrastructure

Business model

4 products and services: Sign up to view

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About DGL

What does DGL do?

DGL (Deep Graph Library) provides a Python-based library for implementing graph neural networks on top of existing DL frameworks.

Where is DGL headquartered?

DGL is headquartered in New York, United States.

When was DGL founded?

DGL was founded in 2018.

Which sector is DGL in?

DGL operates in Enterprise Software & Infrastructure.

Who are DGL's competitors?

Companies similar to DGL include Chalkbucket Labs, Folderly, and Nexadata.