#TsinghuaSIGS Associate Prof. Ren Zhengru’s team unleashes a multi-task #GraphNeuralNetwork to forecast wind speed & dynamic wind-shear for offshore wind farms—cutting costly met-masts & boosting green energy! 👉

We invite you to read our most highly cited papers published in 2023–2024:. #algorithms #deeplearning #reinforcementlearning #artificialintelligence #graphneuralnetwork

Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks .#graphneuralnetwork

New #SpecialIssue "Graph Neural Networks and Transformers for Intelligent Data-Driven Systems", edited by Dr. Xiaodi Huang. Deadline is 31 December 2026. Submissions are welcome until deadline! .#graphneuralnetwork.#knowledgediscovery.@ComSciMath_Mdpi

SpatialGlue.Spatial multi-omics integration.#GraphNeuralNetwork.Intra-modality + Inter-modality dual-attention. spatial epigenome (ATACseq, CUT&Tag)–transcriptome (Stereo-CITE-seq)–proteome (SPOTS). vs Seurat totalVI MultiVI MOFA+ MEFISTO scMM StabMap. Likely also works on

"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge. Paper: #graphneuralnetwork #geometricdeeplearning

HybridGNN: A #SelfSupervised #GraphNeuralNetwork for Efficient Maximum Matching in Bipartite Graphs.✏️ Chun-Hui Pan et al. 🔗 Viewed: 2475; Cited: 8.#mdpisymmetry

Imaging-based #SpatialTranscriptomics #Segmentation. Segger.👉Attention-based #GraphNeuralNetwork.👉Learn a transcript-cell/boundary joint latent space.👉Unassigned transcripts➡️fragments➡️.median 20 transcripts/fragment vs 50 transcripts/cell. vs Baysor

🔥 Read our Paper.📚 Product Demand Prediction with Spatial Graph Neural Networks.🔗 👨‍🔬 by Jiale Li,Li Fan,Xuran Wang,Tiejiang Sun andMengjie Zhou. @nyuniversity.#demandprediction #GraphNeuralNetwork #spatialinformation

2/ A @PondGNN está construindo um modelo #descentralizado #GraphNeuralNetwork (GNN) para #Web3. 🛸O que isso significa? Este modelo foi projetado para aprender comportamentos na cadeia e prever comportamentos futuros.

A graph #neural network-based interpretable #framework reveals a novel DNA fragility–associated #ChromatinStructuralUnit：Overview of the framework to explain the #relationship between the #3DChromatinStructure and #DSBs. #human #Interpretability #GraphNeuralNetwork

🔊Paper Alert!. "Towards a Gated #GraphNeuralNetwork with an Attention Mechanism for Audio Features with a Situation Awareness Application".🔗 Presents a novel Gated Graph Neural Network enhanced by an attention mechanism to process complex audio features.

This approach provides transparency into the classification process and could help identify new and emerging doping agents to be banned. #cleansport #AI #XAI #ArtificialIntelligence #doping #NeuralNetworks #GraphNeuralNetwork #science #research.

Join us for an in-depth session on scaling #GraphLearning with a #microservices architecture .#GraphNeuralNetwork

Learn how to scale #GraphLearning with a #microservices approach in our upcoming webinar .#GraphNeuralNetwork

Reinventing #geneexpression connectivity through regulatory and spatial structural empowerment via principal node aggregation #graphneuralnetwork

Join us for webinar tomorrow! Breaking down the black box of "explainability" in #GraphNeuralNetwork models in production #GraphLearning #DeepLearning

Tomorrow, Tues 4th join us for an in-depth session on scaling #GraphLearning with a #microservices architecture .#GraphNeuralNetwork

2/ @PondGNN is building a #decentralized #GraphNeuralNetwork (GNN) model for #Web3. 🛸What does it mean? This model is designed to learn on-chain behaviors and predict future behaviors. 🗣️We are talking about the first of its kind and will support crypto-native use cases such