Graph neural networks help to process and analyze complex graph-structured data, unlocking new possibilities across a wide range of applications.

Research team led by Chuliang Weng introduces D2-GCN, a groundbreaking disentangled graph convolutional network that dynamically adjusts feature channels for enhanced node representation ...

MoSys announced that its Graph Memory Engine (GME) Accelerator IP is now running on Intel Stratix 10 FPGAs. The GME is part of MoSys’ Packet Classification Platform, and is capable of performing ...