BIOENGINEER

Curriculum-Inspired AI Learns Graphs Like a Student, Fixing Class Imbalance

GNN, a graph neural network that borrows curriculum learning from education to progressively disentangle features and boost ...
VentureBeat

What are graph neural networks (GNN)?

Graphs are everywhere around us. Your social network is a graph of people and relations. So is your family. The roads you take to go from point A to point B constitute a graph. The links that connect ...
VentureBeat

Google releases TF-GNN for creating graph neural networks in TensorFlow

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EurekAlert!

Soft-GNN: towards robust graph neural networks via self-adaptive data utilization

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness, ...
Semiconductor Engineering

An FPGA-based Accelerator Addressing Bottlenecks in GNN Preprocessing (KAIST et al.)

A new technical paper “AutoGNN: End-to-End Hardware-Driven Graph Preprocessing for Enhanced GNN Performance” was published by researchers at KAIST, Panmnesia, Peking University, Hanyang University, ...
EurekAlert!

Simplified multi-view graph neural network for multilingual knowledge graph completion

Knowledge graph completion (KGC) aims to fill in missing entities and relations within knowledge graphs (KGs) to address their incompleteness. Most existing KGC models suffer from knowledge coverage ...