Posts by Mukhil Azhagan Mallaiyan Sathiaseelan

DGL in the Real World: Running GNNs on Real Use Cases

In our previous blog post, we introduced the Deep Graph Library (DGL) and highlighted how its support on the AMD ROCm platform unlocks scalable, performant graph neural networks (GNNs) on AMD GPUs. That post focused on the why — the growing relevance of graph workloads and what it means to bring that capability to AMD’s accelerated computing ecosystem.

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Graph Neural Networks at Scale: DGL with ROCm on AMD Hardware

This blog introduces the Deep Graph Library (DGL) and explores its significance on AMD hardware for enabling scalable, performant graph neural networks.

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