#graphneuralnetworks — Public Fediverse posts

📢 Call for Papers: Computational Spatial Omics - Multimodal Strategies for Systems Biology and Biomedical Discovery

⏳ Submission Deadline: 31 December 2026

🔗 Submit your work: https://spj.science.org/journal/csbj/si/computational-spatial-omics

#CallForPapers #SpatialOmics #SpatialTranscriptomics #SpatialProteomics #Metabolomics #Lipidomics #Multiomics #ComputationalBiology #SystemsBiology #Bioinformatics #AIinHealthcare #DigitalPathology #GraphNeuralNetworks #PrecisionMedicine

📢 Call for Papers: Computational Spatial Omics - Multimodal Strategies for Systems Biology and Biomedical Discovery

⏳ Submission Deadline: 31 December 2026

🔗 Submit your work: https://spj.science.org/journal/csbj/si/computational-spatial-omics

#CallForPapers #SpatialOmics #SpatialTranscriptomics #SpatialProteomics #Metabolomics #Lipidomics #Multiomics #ComputationalBiology #SystemsBiology #Bioinformatics #AIinHealthcare #DigitalPathology #GraphNeuralNetworks #PrecisionMedicine

A new AI method uses Graphical Mutual Information to learn powerful graph embeddings without labels, outperforming top unsupervised models. https://hackernoon.com/a-new-way-to-train-ai-on-graph-data-without-supervision #graphneuralnetworks

A transformer guided multi modal learning framework for predictive and causal assessment of thermal runaway in high energy batteries https://www.byteseu.com/1477517/ #BatterySafety #Energy #EnergyScienceAndTechnology #engineering #GraphNeuralNetworks #HumanitiesAndSocialSciences #MathematicsAndComputing #MultiModalLearning #multidisciplinary #process #Science #ThermalRunaway #TransformerModels

'GraphNeuralNetworks.jl: Deep Learning on Graphs with Julia', by Carlo Lucibello, Aurora Rossi.

http://jmlr.org/papers/v26/24-2130.html

#graphneuralnetworks #graphs #graph

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
--
https://doi.org/10.1111/mice.13484 <-- shared paper
--
https://github.com/MehdiTaghizadehUVa/modulus/tree/main/examples/weather/flood_modeling/hydrographnet <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
--
https://doi.org/10.1111/mice.13484 <-- shared paper
--
https://github.com/MehdiTaghizadehUVa/modulus/tree/main/examples/weather/flood_modeling/hydrographnet <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
--
https://doi.org/10.1111/mice.13484 <-- shared paper
--
https://github.com/MehdiTaghizadehUVa/modulus/tree/main/examples/weather/flood_modeling/hydrographnet <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
--
https://doi.org/10.1111/mice.13484 <-- shared paper
--
https://github.com/MehdiTaghizadehUVa/modulus/tree/main/examples/weather/flood_modeling/hydrographnet <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

Interpretable Physics-Informed Graph Neural Networks For Flood Forecasting
--
https://doi.org/10.1111/mice.13484 <-- shared paper
--
https://github.com/MehdiTaghizadehUVa/modulus/tree/main/examples/weather/flood_modeling/hydrographnet <-- shared GitHub repository
--
#GIS #spatial #mapping #FloodForecasting #GraphNeuralNetworks #PhysicsInformedAI #Hydrology #ClimateResilience #ScientificMachineLearning #CivilEngineering #HydroGraphNet #PhyiscsNeMo #hydrology #water #flood #flooding #spatialanalysis #spatiotemporal #climatechange #model #modeling #machinelearning #AI #extremeweather #prediction #forecasting #planning #humanimpacts #loss #lossoflife #publicsafety #cost #economics #infrastructure #risk #hazard #disaster #mitigation #preparedness #naturaldisaster #HydroGraphNet #floodforecasting #dynamics #remotesensing #earthobservation

🧬 Ready for AI to crack the RNA-disease code?

🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.014

📚 CSBJ: https://www.csbj.org/

#AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

🧬 Ready for AI to crack the RNA-disease code?

🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.014

📚 CSBJ: https://www.csbj.org/

#AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

🧬 Ready for AI to crack the RNA-disease code?

🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.014

📚 CSBJ: https://www.csbj.org/

#AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

🧬 Ready for AI to crack the RNA-disease code?

🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.014

📚 CSBJ: https://www.csbj.org/

#AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

🧬 Ready for AI to crack the RNA-disease code?

🔗 GL4SDA: Predicting snoRNA-disease associations using GNNs and LLM embeddings. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.03.014

📚 CSBJ: https://www.csbj.org/

#AIinBiomedicine #GraphNeuralNetworks #LLM #ncRNA #snoRNA #CancerResearch #Bioinformatics #PrecisionMedicine #XAI #Genomics

Tenemos cita el 20 de febrero 🔥 Nos vemos en BBVA AI Factory para hablar embeddings para contratación financiera y de redes neuronales de grafos. Estamos probando @guild.host, ¡reserva tu plaza aquí! 👇 guild.host/events/embed... #PyData #PyDataMadrid #python #embeddings #GraphNeuralNetworks

📄 Embeddings para contratación...

An introduction to graph neural networks, with a section on "where to find them", that does not mention at all neural circuits or connectomes. WTF.

https://distill.pub/2021/gnn-intro/

#GraphNeuralNetworks #GNN #ComputerScience #neuroscience

Very happy to announce our new paper accepted in @eswc_conf
#ESWC2024: "Treat Different Negatives Differently: Enriching Loss Functions with Domain and Range Constraints for Link Prediction"!

📎 https://arxiv.org/pdf/2303.00286.pdf

w/ N. Hubert, A. Brun, and D. Monticolo

#knowledgeGraph #semanticWeb #machineLearning #linkPrediction #neurosymbolicAI #artificialIntelligence #linkedOpenData #graphEmbeddings #embeddings #graphNeuralNetworks

Dive into the world of #GraphNeuralNetworks (GNNs)!

Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.

🎥 Watch now on #InfoQ: https://bit.ly/3UXutls

#transcript included

#PyG #GNNs #opensource #ML #DataWarehouse

Dive into the world of #GraphNeuralNetworks (GNNs)!

Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.

🎥 Watch now on #InfoQ: https://bit.ly/3UXutls

#transcript included

#PyG #GNNs #opensource #ML #DataWarehouse

Dive into the world of #GraphNeuralNetworks (GNNs)!

Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.

🎥 Watch now on #InfoQ: https://bit.ly/3UXutls

#transcript included

#PyG #GNNs #opensource #ML #DataWarehouse

Dive into the world of #GraphNeuralNetworks (GNNs)!

Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.

🎥 Watch now on #InfoQ: https://bit.ly/3UXutls

#transcript included

#PyG #GNNs #opensource #ML #DataWarehouse

Dive into the world of #GraphNeuralNetworks (GNNs)!

Discover their advantages over traditional machine learning and have a quick primer on graph representation learning using PyG, a popular open-source GNN library.

🎥 Watch now on #InfoQ: https://bit.ly/3UXutls

#transcript included

#PyG #GNNs #opensource #ML #DataWarehouse

🆕 Newsletter 🚀 Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging

🆕 Newsletter 🚀 Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging

🆕 Newsletter 🚀 Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging

🆕 Newsletter 🚀 Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging

🆕 Newsletter 🚀 Dive into the world of AI security! Discover essential strategies to shield your generative AI apps from prompt injection risks. Stay ahead in the AI safety game!
#GenerativeAI #LLMs #PromptInjection #Cybersecurity #EthicalAI #ResponsibleAI #AISafety #AnomalyDetection #WeatherForecasting #GraphNeuralNetworks #DeepLearning #ClimateChange
https://gradientflow.substack.com/p/securing-ai-addressing-the-emerging

#arxivfeed :

"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 :

"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 :

"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 :

"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 :

"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

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

#arxivfeed :

"On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
https://arxiv.org/abs/2211.16494

#MachineLearning #DeepLearning #GraphNeuralNetworks #GraphTheory