Top Tweets for #GraphNeuralNetwork
Welcome to read this paper published in @FluidsMdpi:
📙 Machine Learning Model for Gas–Liquid Interface Reconstruction in CFD Numerical Simulations
👉 https://t.co/6UpOvw1ib9
#GraphNeuralNetwork #InterfaceReconstruction #VoF_Method #UnstructuredMesh #Fluids #Fluids10th
🧠 MGA-sSE-ResNet18 models multi-hop brain region connectivity via Markov chain graph attention, achieving MAE 2.822 yrs and PCC 0.968 on 2,788 MRI scans.
👉 https://t.co/rrttu4Wxra
#BrainAge #DeepLearning #GraphNeuralNetwork
Check out 𝐬𝐡𝐞𝐚𝐟-𝐦𝐩𝐧𝐧: a PyTorch repo for 𝐒𝐡𝐞𝐚𝐟 𝐍𝐞𝐮𝐫𝐚𝐥 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐬 𝐚𝐬 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐏𝐚𝐬𝐬𝐢𝐧𝐠, which lets you run SNNs in just a few lines! Paper coming soon...
👨💻 👉https://t.co/8550bf11iU
#GNN #SheafNeuralNetworks #Graph #GraphNeuralNetwork
SpaLP
Spatial Local Pooling
Index matrix (linear!)🤠
Cluster Visium HD 1.2M cells, 18k transcripts, 2 sections in 43 s🤯
vs adjacency matrix #GraphNeuralNetwork method BANKSY NicheCompass HERGAST
300-fold⏫computational efficiency
Cross-platform integration - STARmap PLUS MERFISH CosMx Xenium Visium HD Stereo-seq
3D spatial atlas MERFISH 8.4M cells, 239 sections on a single GPU in 4 min
+A local pooling-based spatial omics foundation model😎
@BingjDai bioRxiv 2026
https://t.co/w33guYOfc6
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
🔥 Read our Highly Cited Paper
📚Product Demand #Prediction with Spatial Graph Neural Networks
🔗https://t.co/0fBv9VabU9
👨🔬by Jiale Li et al.
@nyuniversity
#demandprediction #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
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
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks
https://t.co/flAnhGCYDN
#graphneuralnetwork
🔥 Read our Paper
📚 Product Demand Prediction with Spatial Graph Neural Networks
🔗 https://t.co/0fBv9VabU9
👨🔬 by Jiale Li,Li Fan,Xuran Wang,Tiejiang Sun andMengjie Zhou.
@nyuniversity
#demandprediction #GraphNeuralNetwork #spatialinformation
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/ol9iSb2vyZ
vs Baysor BIDCell CellPose 10X Cell/Nuclei protocol
30 times faster than Baysor (on 4x @NVIDIAAI A100 GPU...🤧💸💸💸🤑)
@HeidariElyas @MoritzGerstung bioRxiv 2025
https://t.co/kRrWsyp3Ip
📣Deal of the Day📣 Feb 23
SAVE 45% TODAY ONLY!
Graph Neural Networks in Action & selected titles: https://t.co/DcpsoLASzY @keitabr @nrstillman
Now in print! A hands-on guide to powerful graph-based deep learning models. #graphneuralnetwork #gnn
🌐"ICoN: Integration using co-attention across biological networks" introduces an unsupervised #GraphNeuralNetwork model to create robust protein representations from diverse networks.
https://t.co/SLhHh4lWlP
#ProteinResearch @t_m_murali
👉👉👉 #Landslide Displacement #Prediction via Attentive #GraphNeuralNetwork
✍️ Ping Kuang et al.
📎 https://t.co/XcYKUBxDf9
#Selectedarticles with GA
Title: Hybrid #GraphNeuralNetwork Recommendation Based on Multi-Behavior Interaction and Time Sequence Awareness
Authors: Mingyu Jia, Fang’ai Liu, Xinmeng Li, Xuqiang Zhuang
Find more here: https://t.co/IIZCaLQLP2
#mdpielectronics #openaccess
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
"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge
Paper: https://t.co/1rxaYRxAwS
#graphneuralnetwork #geometricdeeplearning
#mostcited
🛩️ Joint Flying Relay Location and Routing Optimization for 6G UAV–IoT Networks: A Graph Neural Network-Based Approach
by Xiucheng Wang, Lianhao Fu, et al.
➡️ https://t.co/YkEQU00A9X
#GraphNeuralNetwork
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 imaging-based #SpatialTranscriptomics #Xenium #CosMx
@LongYahui @CJM_lab @naturemethods 2024
https://t.co/PuI6lqotYY
Reinventing #geneexpression connectivity through regulatory and spatial structural empowerment via principal node aggregation #graphneuralnetwork https://t.co/Dy8PXXaoYV
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