This week's #ITOps Query episode is out! In the eyes of #CNCF TAG #observability leader Matt Young, #GNNs, #knowledgegraphs and #GraphRAG will boost IT operations and create 3D views of apps and infrastructure. #AI #genai #o11y #aiobservability

https://www.techtarget.com/searchitoperations/podcast/A-visual-future-GraphRAG-and-AI-observability

We are getting closer to solving the great mystery of #olfaction research:

How to predict the #odour of a molecule based on its chemical structure?

Graphical neural networks (#GNNs) can predict the odour characterisation of a molecule by a group of human experts.

A principal odor map unifies diverse tasks in olfactory perception | Science https://www.science.org/doi/full/10.1126/science.ade4401#F1

#graph #neural #networks #gnn #GNNs

http://arxiv.org/abs/2301.08210

Everything is connected.

#Introdiction : I'm a mathematician moving towards data science topics, based in Chile. Some interests:
#geometry #datageometry #discretegeometry #materialscience
#hyperbolicneuralnetwork
#GraphNeuralNetwork #GNNs
#topology #TDA #metricspaces
#equivariantneuralnetwork #enns #convolutionalneuralnetwork #networkscience
#computationalchemistry #dft #pinns
#optimaltransport
#learningTheory #generalization
#expressivity
#marinescience #biodiversity #oceanscience
#phylogenetics

#introduction

Hi all,

I'm a PhD student in #MachineLearning at the technical university of Munich #TUM. I'm currently working on machine learning on graphs and machine learning-driven computional chemistry.
#ml #GraphNeuralNetworks #GNNs #compchem

#introduction

Hi! I'm a 2nd year PhD student at ELLIS Alicante working on algorithmic #fairness in data valuation and #GNNs.

Moving here to discover if this curated community can create a better and more interesting echo chamber for me

Looking forward to connecting with you!

Hey #ml #MachineLearning and #CyberSecurity folks I'm a #DataVisualization researcher working on a paper idea for creating tools within the subfield of Neural Binary Analysis specifically Binary Function Similarity via CFGs using #NLProc and #GNNs. Does anyone have favorite papers or #visualization tools they use in this area? Starting with the dataset from this paper: https://www.usenix.org/system/files/sec22-marcelli.pdf

E.g. I'm combing the #VizSec database now but are there other resources like this?