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Graph Neural Networks with IPU

GNNs are ideally suited for the Graphcore IPU architecture. Get started today with a wide range of GNN applications for your industry or your scientific research with GNNs .

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Disease

Disease Prediction

  • RNA–disease association
  • Disease–gene association
  • COVID-19 spread prediction
Syringe

Drug Discovery

  • Protein structuring
  • Protein function prediction
  • Protein/drug interaction
  • Drug response prediction
X-ray

Medical Imaging

  • Image segmentation
  • Abnormality detection
  • Brain connectivity research
  • Surgical image analysis
Heart

Patient Risk Prediction

  • Mining EHRs (health records)
Particle Physics

Particle Physics

  • Particle physics simulation
Chemical Physics

Chemical Physics

  • QSOR (structure-odor) modeling
Social

Social Network Analysis

  • Social influence prediction
Thumbsup

Recommender Systems

  • User and item representations
Megaphone

Fake News Detection

  • Rumor detection
  • Link classification
Magnet

Identity Resolution

  • Real-time personalization & advertising 
Wireless

Wireless Communication

  • Power control
  • Resource allocation​
  • Channel control​
  • Link scheduling
GamePad

Fraud Detection

  • Collusion detection in gaming
Thumbsup

Recommender Systems

  • Online game recommendations
Fraud-1

Fraud Detection

  • Credit card, insurance, loan fraud
Line Graph_1

Trade Market Prediction

  • Trader connection surveillance
Warning

Risk & Compliance

  • Risk analytics
  • Compliance reporting
Storage

Data Migration

  • Data mapping and consolidation
Interest

Interest Rate Risk

  • Risk analytics
Handcuffs

Crime Prevention

  • Predicting crime associations
Fraud-1

Fraud Detection

  • Anti-money laundering & tax fraud
Magnifier

Contact Tracing

  • Disease contact tracing
Traffic

Traffic Forecasting

  • Traffic speed/time prediction
CheckList

Bill of Materials

  • 360-degree BOM analysis
Magnifier

Traceability

  • Product recall tracing, e.g. cars
Storage

Master Data Management

  • RDF graph data modelling
GNN-biotech-illustration

Graph Neural Networks for Biotech & life science

Whether you’re working on protein sequencing, molecular modelling, computational chemistry or drug discovery, IPUs are designed to help you get deeper insights faster from graph neural networks.

Developed with Valence & Mila, Graphium is an open-source library designed for graph representation learning on real-world chemistry tasks.

Find out more

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