Tech Xplore on MSN

HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks ...
The Next Platform

A Trillion Edge Graph on a Single Accelerated Node

Efficiently and quickly chewing through one trillion edges of a complex graph is no longer in itself a standalone achievement, but doing so on a single node, albeit with some acceleration and ...
EurekAlert!

D2-GCN: a graph convolutional network with dynamic disentanglement for node classification

Classic Graph Convolutional Networks (GCNs) often learn node representation holistically, which would ignore the distinct impacts from different neighbors when aggregating their features to update a ...
Forbes

Edge & Node, A New Software Development Company Is Launched By The Graph Core Protocol Team

Forbes contributors publish independent expert analyses and insights. Working on digital transformation by busting boundaries. This article is more than 5 years old. The creator of Bitcoin, Satoshi ...
lse

Graph Data Analytics and Representation Learning

This course is available on the MSc in Data Science, MSc in Geographic Data Science, MSc in Health Data Science, MSc in Operations Research & Analytics, MSc in Quantitative Methods for Risk Management ...
Design-Reuse

Placement of different type nodes in a Network-on-chip graph

Modern network-on-chip could include different types of nodes. Generally nodes that are of-chip external interconnections controllers – external nodes, are used in the system for I/O. Internal nodes ...