BestHub
search
Sign in
Tag

Deep Graph Library

1 views collected around this technical thread.

DataFunSummit
DataFunSummit
Jan 14, 2023 · Artificial Intelligence

Deep Graph Library (DGL): Technical Features, Community Progress, and Challenges in Graph Deep Learning

This article provides a comprehensive overview of the Deep Graph Library (DGL), covering its technical characteristics, open‑source community developments, various graph learning tasks, message‑passing mechanisms, system design challenges, training strategies on single and multiple GPUs, inference optimization, and a Q&A comparing DGL with other frameworks.

AIDeep Graph LibraryGNN Training
0 likes · 15 min read
Deep Graph Library (DGL): Technical Features, Community Progress, and Challenges in Graph Deep Learning
DataFunSummit
DataFunSummit
May 12, 2022 · Artificial Intelligence

DGL: A Deep Graph Library for Efficient Graph Neural Network Development

This article introduces DGL, a deep‑graph library that bridges graph‑algorithm abstractions with existing tensor frameworks, explains the fundamentals of graph neural networks, their message‑passing formulation, and demonstrates how DGL’s flexible APIs, operator fusion, and sampling components enable high‑performance training on both small and massive graphs.

Deep Graph LibraryGraph neural networksLarge‑Scale Graph Training
0 likes · 15 min read
DGL: A Deep Graph Library for Efficient Graph Neural Network Development