Multimodal Learning on Graphs for Biological and Natural Systems

Multimodal Learning on Graphs for Biological and Natural Systems

Harvard CMSA via YouTube Direct link

Introduction

1 of 24

1 of 24

Introduction

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Classroom Contents

Multimodal Learning on Graphs for Biological and Natural Systems

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  1. 1 Introduction
  2. 2 Advanced Computational Techniques
  3. 3 Outline
  4. 4 Knowledge Graph Based Models
  5. 5 Therapeutics Graph Neural Network
  6. 6 Knowledge Graphs
  7. 7 The Threshold
  8. 8 Division and Model
  9. 9 Disease pooling
  10. 10 Disease pulling
  11. 11 Evaluation setup
  12. 12 Why is it relevant
  13. 13 Novel predictions
  14. 14 Natural next question
  15. 15 Developing tools for domain experts
  16. 16 Integration
  17. 17 Collaboration
  18. 18 Plain text interfaces
  19. 19 Therapeutic Data Commons
  20. 20 Contextual Learning
  21. 21 Biological Context
  22. 22 Contextual Models
  23. 23 Pinnacle
  24. 24 Contextual Prediction

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