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Scaling Optimization of Graph Neural Networks: O'Reilly Superstream Series

Scaling Optimization of Graph Neural Networks: O'Reilly Superstream Series

Optimizing and Scaling Graph Neural Networks: SigOpt Summit Panel with PayPal, Intel, and AWS

Optimizing and Scaling Graph Neural Networks: SigOpt Summit Panel with PayPal, Intel, and AWS

[ FPL 2022 ] Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs

[ FPL 2022 ] Optimizing Graph Neural Networks for Jet Tagging in Particle Physics on FPGAs

Graph Neural Network folds ProteinB

Graph Neural Network folds ProteinB

MDS20 – Persistence Optimization on the Graph Spectrum for Graph Classification Neural Networks

MDS20 – Persistence Optimization on the Graph Spectrum for Graph Classification Neural Networks

21 - Scaling Neural Networks Training - Thorsten Kurth

21 - Scaling Neural Networks Training - Thorsten Kurth

Teacher-Student Graph Neural Network for Affordable Medicine | FAIR 2021

Teacher-Student Graph Neural Network for Affordable Medicine | FAIR 2021

Node classification on ogbn-arxiv using GCN

Node classification on ogbn-arxiv using GCN

Introduction to SigOpt

Introduction to SigOpt

ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

ProGraML: A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

PayPal Promotes Intelligent Sampling for Graph Neural Networks

PayPal Promotes Intelligent Sampling for Graph Neural Networks

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs

G3: When Graph Neural Networks Meet Parallel Graph Processing Systems on GPUs