"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge Paper: https://t.co/1rxaYRxAwS #graphneuralnetwork #geometricdeeplearning

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

We've discussed AI's role in diplomacy for a while. Most projects limit to language analysis or networks. Truly “intelligent approach” integrates these technologies ♣️ #Transformers #SHD #AI_Integration #DeepLearning #GraphNeuralNetwork #BERT #AIforGood #AI_Diplomacy

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.

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

#mdpisystems Call for reading: Simplified and Adjustable #GraphDiffusion Neural Networks https://t.co/J71LXwwW1F by author Mr. Ji Cheol Kang and Prof. Nam-Wook Cho from MADUP Inc. and Seoul National University of Science and Technology #IndustrialSystems #GraphNeuralNetwork

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

Exciting news from @CDFM_IITD: Kushal has received the Overseas Visiting Doctoral Fellowship (OVDF) from @serbonline and moving to @LifeAtPurdue this week to work with the @ArunKumarMK20 group. He will work on #GraphNeuralNetwork-based models for materials discovery. @iitdelhi

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 https://t.co/PJkpNU31DL vs Baysor

Check this newly published article "#IndustrialInternetofThings #IntrusionDetection System Based on #GraphNeuralNetwork" at https://t.co/y3BIdB2U7U Authors: Siqi Yang et al. #mdpisymmetry @ComSciMath_Mdpi

Dual-Channel Heterogeneous #GraphNeuralNetwork for Predicting #microRNA-Mediated Drug Sensitivity GNNs #drugdesign https://t.co/w4jxJVfgeF #vol62 #issue23 #JCIM #MachineLearning #DeepLearning

Dell's new patent appl. #US20250124082A1 reveals a method for processing workflow charts using graph neural networks & language models. This tech encodes chart structures & trains models for effective natural language outputs. #WorkflowInnovation #GraphNeuralNetwork #Dell $DELL

How an interpretable #graphneuralnetwork predict ultrafast electronic changes in quantum dots with incredible accuracy? Check out our paper in @ACSMatLett. Great effort by Kushal. Thanks to @ArunKumarMK20 for collaboration. @iitdelhi @PurdueUni @ANRFIndia https://t.co/NlM2qKnuaM

Learn how to scale #GraphLearning with a #microservices approach in our upcoming webinar https://t.co/LeF3qkwQA3 #GraphNeuralNetwork

#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! 👉 https://t.co/oiz56dI2jW

Join us for an in-depth session on scaling #GraphLearning with a #microservices architecture https://t.co/kLVhSEgCNf #GraphNeuralNetwork

The workshop covered the most advanced topics in depth: #NGS, #HiC, #SingleCellGenomics, #GWAS, #Metagenomics, #ChIPSeq, #ATACSeq, #GraphNeuralNetwork, #MachineLearning, and #DeepLearning.

Tomorrow, Tues 4th join us for an in-depth session on scaling #GraphLearning with a #microservices architecture https://t.co/sgjqXp6GGh #GraphNeuralNetwork

Join us for webinar tomorrow! Breaking down the black box of "explainability" in #GraphNeuralNetwork models in production https://t.co/7QwYsV1c30 #GraphLearning #DeepLearning