Essays about: "graph neural networks GNN"

Showing result 1 - 5 of 10 essays containing the words graph neural networks GNN.

  1. 1. Expressibility of multiscale physics in deep networks

    University essay from Umeå universitet/Institutionen för fysik

    Author : Hannes Marklund; [2022]
    Keywords : ;

    Abstract : Motivated by the successes in the field of deep learning, the scientific community has been increasingly interested in neural networks that are able to reason about physics. As neural networks are universal approximators, they could in theory learn representations that are more efficient than traditional methods whenever improvements are theoretically possible. READ MORE

  2. 2. Learning Policies for Path Selection in Attack Graphs

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Manuel Rickli; [2022]
    Keywords : ;

    Abstract : IT systems are indispensable nowadays. With thousands of hacking attempts happening daily, cyber defense mechanisms are crucial for maintaining a working state of those systems. Simulating an attacker is a means of preparing for future hacking attacks by determining the most likely vulnerabilities where an attack could be attempted. READ MORE

  3. 3. Quantum Error Correction Using Graph Neural Networks

    University essay from Göteborgs universitet / Institutionen för fysik

    Author : Valdemar Bergentall; [2021-06-17]
    Keywords : Quantum error correction; surface code; graph neural networks;

    Abstract : A graph neural network (GNN) is constructed and trained with a purpose of using it as a quantum error correction decoder for depolarized noise on the surface code. Since associating syndromes on the surface code with graphs instead of grid-like data seemed promising, a previous decoder based on the Markov Chain Monte Carlo method was used to generate data to create graphs. READ MORE

  4. 4. Predicting safe drug combinations with Graph Neural Networks (GNN)

    University essay from Uppsala universitet/Institutionen för farmaceutisk biovetenskap

    Author : Amirhossein Amanzadi; [2021]
    Keywords : Drug Combination; Polypharmacy Side Effects; Graph Neural Networks;

    Abstract : Many people - especially during their elderly - consume multiple drugs for the treatment of complex or co-existing diseases. Identifying side effects caused by polypharmacy is crucial for reducing mortality and morbidity of the patients which will lead to improvement in their quality of life. READ MORE

  5. 5. Privacy Preserving Survival Prediction With Graph Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Stefano Fedeli; [2021]
    Keywords : Graph Neural Network; Survival Analysis; Differential Privacy; Clinical Data; Registries; Population Study;

    Abstract : In the development process of novel cancer drugs, one important aspect is to identify patient populations with a high risk of early death so that resources can be focused on patients with the highest medical unmet need. Many cancer types are heterogeneous and there is a need to identify patients with aggressive diseases, meaning a high risk of early death, compared to patients with indolent diseases, meaning a low risk of early death. READ MORE