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, ...
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 ...
Bloomberg

Supply chain momentum strategies with graph neural networks

Supply chain data has been studied as a potential source of investment opportunity for years. Many possible theoretical approaches can be employed when considering how an investor could leverage ...
BIOENGINEER

AI That Watches You Dance: Graph Neural Network Learns to Coach Like a Master Teacher

A new graph neural network framework evaluates dance training in real time and automatically adapts practice plans, achieving ...
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, ...
Semiconductor Engineering

Predicting Defect Properties In Semiconductors With Graph Neural Networks

A technical paper titled “Accelerating Defect Predictions in Semiconductors Using Graph Neural Networks” was published by researchers at Purdue University, Indian Institute of Technology (IIT) Madras, ...