Graph Neural Networks for Drug Combinations - Andreea Deac | Wonderland AI Summit 2020

preview_player
Показать описание
Andreea Deac, AI researcher at Mila - Wonderland AI Summit 2020 - Keynote Day powered by Huawei, October 23rd

Topic: Graph Neural Networks for Drug Combinations

Follow Wonderland AI Summit on social media:

  1. Wonderland AI Summit
Рекомендации по теме
Workshop Introduction 1:51:57

Workshop Introduction to Graph Neural Network and Its Application in Drug Discovery

Interpretable Chirality-Aware GNNs 0:49:17

Interpretable Chirality-Aware GNNs for QSAR Modeling in Drug Discovery | Yunchao (Lance) Liu

Discovering New Molecules 0:19:22

Discovering New Molecules Using Graph Neural Networks by Rocío Mercado

Workshop: Introduction to 3:09:56

Workshop: Introduction to Graph Neural Network and Its Application in Drug Discovery

Geometric Deep Learning 0:58:16

Geometric Deep Learning for Drug Discovery

Graph Neural Networks 0:18:53

Graph Neural Networks for Binding Affinity Prediction

GNN-TOX: Graph Neural 0:10:10

GNN-TOX: Graph Neural Nets to Make Drug Discovery Cheaper

Graph Neural Networks 0:23:10

Graph Neural Networks for Drug Combinations - Andreea Deac | Wonderland AI Summit 2020

Adam Gonczarek: Graph 0:33:01

Adam Gonczarek: Graph convolutions, generative models and ways towards automated drug design

Intro to graph 0:51:06

Intro to graph neural networks (ML Tech Talks)

How Graph Neural 0:12:03

How Graph Neural Networks Are Transforming Industries

Bonus Lecture - 0:51:51

Bonus Lecture - Protein residue characterization using graph neural networks.

Can graph neural 1:07:57

Can graph neural networks understand chemistry? - Dominique Beaini

PathwayGNN: an explainable 0:08:12

PathwayGNN: an explainable graph neural network to predict... - Durdam Das - RSG - RSGDREAM 2022

Machine Learning for 0:02:38

Machine Learning for Drug Discovery (Explained in 2 minutes)

Explaining Drug Repositioning: 0:12:11

Explaining Drug Repositioning: A Case-Based Reasoning Graph Neural Network Approach

AWS ML Summit 0:26:01

AWS ML Summit 2021 | Deep Graph Library: Deep Graph learning at scale

Graph Convolutional Networks 0:09:25

Graph Convolutional Networks (GCNs) made simple

Explaining Graph Neural 0:19:51

Explaining Graph Neural Network Predictions for Drug Repurposing

The ultimate intro 0:08:35

The ultimate intro to Graph Neural Networks. Maybe.

Deep learning on 0:43:26

Deep learning on graphs: successes, challenges | Graph Neural Networks | Michael Bronstein

Understanding Graph Attention 0:15:00

Understanding Graph Attention Networks

Graph neural networks: 0:18:07

Graph neural networks: Variations and applications

Stefanie Jegelka - 0:57:17

Stefanie Jegelka - Representation and Learning in Graph Neural Networks