"CI-GNN: A Granger Causality-Inspired Graph Neural Network for Interpretable Brain Network-Based Psychiatric Diagnosis"
https://arxiv.org/abs/2301.01642
#Neuroscience #Neuro #ComputationalNeuroscience #MachineLearning #GraphNeuralNetworks #Psychiatry #FunctionalConnectivity #CausalInference
#arxivfeed #neuroscience #neuro #computationalneuroscience #machinelearning #graphneuralnetworks #psychiatry #functionalconnectivity #causalinference
Presenting a hybrid algorithm able to find influential groups of users in: “Boosting a Genetic Algorithm with #GraphNeuralNetworks for Multi-Hop #InfluenceMaximization in Social Networks” by CC Sartori, C. Blum. @FedCSIS
2022, ACSIS Vol. 30 p. 363–371; http://tinyurl.com/bdhr4y6s
#graphneuralnetworks #influencemaximization
ROLAND: A new framework to repurpose static GNNs to dynamic GNNs.
In real life, interaction graphs are often dynamic: edges and nodes change with time 🕸️
ROLAND ia built with PyG @PyTorch GraphGym to efficiently explore the GNN design space.
https://arxiv.org/abs/2208.07239
https://github.com/snap-stanford/roland
#graph #graphneuralnetworks #gnn #neuralnetwork #ann #nn #machinelearning #datascience
#graph #graphneuralnetworks #GNN #neuralnetwork #Ann #nn #machinelearning #datascience
ROLAND: A new framework to repurpose static GNNs to dynamic GNNs.
In real life, interaction graphs are often dynamic: edges and nodes change with time 🕸️
ROLAND ia built with PyG @PyTorch GraphGym to efficiently explore the GNN design space.
https://arxiv.org/abs/2208.07239
https://github.com/snap-stanford/roland
#graph #graphneuralnetworks #gnn #neuralnetwork #ann #nn #machinelearning #datascience
#graph #graphneuralnetworks #GNN #neuralnetwork #Ann #nn #machinelearning #datascience
"On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
https://arxiv.org/abs/2211.16494
#MachineLearning #DeepLearning #GraphNeuralNetworks #GraphTheory
#arxivfeed #machinelearning #deeplearning #graphneuralnetworks #graphtheory
Talking about books, any recommendation of books about #EvolutionaryAlgorithms #GraphTheory #GraphNeuralNetworks or #ConvolutionalNeuralNetwork are welcome :) PS: I don’t want Practical guides or cookbooks
#EvolutionaryAlgorithms #graphtheory #graphneuralnetworks #convolutionalneuralnetwork
Hi 👋 #introduction
I'm a PhD student in Computer Science at the Technical University of Munich #TUM. I'm currently working on robust machine learning and machine learning on graphs.
#Introduction #TUM #machinelearning #robustness #graphneuralnetworks #GNNs