#graphneuralnetwork search results
"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge Paper: arxiv.org/abs/2402.10793 #graphneuralnetwork #geometricdeeplearning
Check this newly published article "#IndustrialInternetofThings #IntrusionDetection System Based on #GraphNeuralNetwork" at brnw.ch/21wWOZc Authors: Siqi Yang et al. #mdpisymmetry @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…
🧠 Graph Neural Network Learning on the Pediatric Structural Connectome Exploring how GNNs can model the developing brain’s connectivity and advance pediatric neuroimaging. 🔗 brnw.ch/21wWpch #Neuroimaging #GraphNeuralNetwork #AI #PediatricResearch
🔥 Read our Highly Cited Paper 📚Product Demand #Prediction with Spatial Graph Neural Networks 🔗mdpi.com/2076-3417/14/1… 👨🔬by Jiale Li et al. @nyuniversity #demandprediction #GraphNeuralNetwork
🔥 Read our Highly Cited Paper 📚Ransomware Detection Model Based on Adaptive #GraphNeuralNetwork Learning 🔗mdpi.com/2076-3417/14/1… 👨🔬by Jun Li et al. 🏫Beijing Information Science & Technology University #adaptivediffusionconvolution #deeplearning
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…
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.
#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! 👉 doi.org/10.1016/j.inff…
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 elihei2.github.io/segger_dev/ vs Baysor…
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
Learn how to scale #GraphLearning with a #microservices approach in our upcoming webinar hubs.ly/Q01H3ClC0 #GraphNeuralNetwork
Our AI-driven structural design platform just got even better with the new Graph Neural Network (GNN) module. Experience the power of generative AI in structural design like never before. #GraphNeuralNetwork #GenerativeAI ai-structure.com
Join us for an in-depth session on scaling #GraphLearning with a #microservices architecture hubs.ly/Q01J51rn0 #GraphNeuralNetwork
Tomorrow, Tues 4th join us for an in-depth session on scaling #GraphLearning with a #microservices architecture hubs.ly/Q01K23r_0 #GraphNeuralNetwork
Reinventing #geneexpression connectivity through regulatory and spatial structural empowerment via principal node aggregation #graphneuralnetwork doi.org/10.1093/nar/gk…
Join us for webinar tomorrow! Breaking down the black box of "explainability" in #GraphNeuralNetwork models in production hubs.ly/Q01MyJSX0 #GraphLearning #DeepLearning
Learn how to break down the black box of #GraphLearning #explainability, in this webinar we deep dive into explainability in #GraphNeuralNetwork models in production hubs.ly/Q01KrkqM0
Interested in learning how to write your first #GraphNeuralNetwork? Take this training focused on enabling streamlined graph #AI workflows and capabilities. Watch on-demand: nvda.ws/47mZlzN
Check this newly published article "#IndustrialInternetofThings #IntrusionDetection System Based on #GraphNeuralNetwork" at brnw.ch/21wWOZc Authors: Siqi Yang et al. #mdpisymmetry @ComSciMath_Mdpi
🧠 Graph Neural Network Learning on the Pediatric Structural Connectome Exploring how GNNs can model the developing brain’s connectivity and advance pediatric neuroimaging. 🔗 brnw.ch/21wWpch #Neuroimaging #GraphNeuralNetwork #AI #PediatricResearch
Urakawa, G., Fukuda, T., Yabuki, N. (2025). Automatic Floor Plan Generation System Using Graph Neural Networks Considering Room Type Information with Building Exterior Walls as Constraints, eCAADe 2025 #GraphNeuralNetwork #GraphReconstructionandGeneration #BuildingComponents
🔥 Read our Highly Cited Paper 📚Product Demand #Prediction with Spatial Graph Neural Networks 🔗mdpi.com/2076-3417/14/1… 👨🔬by Jiale Li et al. @nyuniversity #demandprediction #GraphNeuralNetwork
🔥 Read our Highly Cited Paper 📚Ransomware Detection Model Based on Adaptive #GraphNeuralNetwork Learning 🔗mdpi.com/2076-3417/14/1… 👨🔬by Jun Li et al. 🏫Beijing Information Science & Technology University #adaptivediffusionconvolution #deeplearning
HybridGNN: A #SelfSupervised #GraphNeuralNetwork for Efficient Maximum Matching in Bipartite Graphs ✏️ Chun-Hui Pan et al. 🔗 brnw.ch/21wUFu9 Viewed: 2475; Cited: 8 #mdpisymmetry
🌱☀️ New paper in @Build_Env! We pitted a vanilla RNN against a directed #GraphNeuralNetwork on 15-min agrivoltaic greenhouse data: Know when to go graph and when a simple sequence net is enough. Check it at 🔗 doi.org/10.1016/j.buil… #Agrivoltaics #DigitalTwin
#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! 👉 doi.org/10.1016/j.inff…
🔊Paper Alert! "Towards a Gated #GraphNeuralNetwork with an Attention Mechanism for Audio Features with a Situation Awareness Application" 🔗mdpi.com/2079-9292/14/1… Presents a novel Gated Graph Neural Network enhanced by an attention mechanism to process complex audio features.
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! mdpi.com/journal/inform… #graphneuralnetwork #knowledgediscovery @ComSciMath_Mdpi
Assessing Sensor Integrity for Nuclear Waste Monitoring Using Graph Neural Networks mdpi.com/1424-8220/24/5… #graphneuralnetwork
🔥 Read our Paper 📚 Product Demand Prediction with Spatial Graph Neural Networks 🔗 mdpi.com/2076-3417/14/1… 👨🔬 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 elihei2.github.io/segger_dev/ vs Baysor…
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
Introducing a Connectivity-Aware Graph Neural Network (GNN) for Real-Time Applications! #GraphNeuralNetwork #GNN #AI #MachineLearning #DeepLearning #RealTimeAI #Connectivity #ArtificialIntelligence #NeuralNetworks #SmartSystems #DataScience #TakeoffProjects #TakeoffEduGroup
😉Check out the new paper from JMI Topic: An optimized strategy for density prediction of intermetallics across varied crystal structures via graph neural network 🔗oaepublish.com/articles/jmi.2… #MachineLearning, #GraphNeuralNetwork
📣Deal of the Day📣 Feb 23 SAVE 45% TODAY ONLY! Graph Neural Networks in Action & selected titles: mng.bz/WrEx @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. doi.org/10.1093/bioadv… #ProteinResearch @t_m_murali
Exciting news from JPMorgan Chase researchers! Their JPEC model, a graph neural network, is revolutionizing competitor retrieval in financial knowledge graphs. #GraphNeuralNetwork #CompetitorDetection marktechpost.com/2024/11/12/jpm…
marktechpost.com
JPMorgan Chase Researchers Propose JPEC: A Novel Graph Neural Network that Outperforms Expert's...
JPMorgan Chase Researchers Propose JPEC: A Novel Graph Neural Network that Outperforms Expert's Predictions on Tasks of Competitor Retrieval
"Masked Attention is All You Need for Graphs" by @davidbuterez , Jon Paul Janet, @DinoOglic, and @pl219_Cambridge Paper: arxiv.org/abs/2402.10793 #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…
🔥 Read our Highly Cited Paper 📚Product Demand #Prediction with Spatial Graph Neural Networks 🔗mdpi.com/2076-3417/14/1… 👨🔬by Jiale Li et al. @nyuniversity #demandprediction #GraphNeuralNetwork
🧠 Graph Neural Network Learning on the Pediatric Structural Connectome Exploring how GNNs can model the developing brain’s connectivity and advance pediatric neuroimaging. 🔗 brnw.ch/21wWpch #Neuroimaging #GraphNeuralNetwork #AI #PediatricResearch
Learn how to scale #GraphLearning with a #microservices approach in our upcoming webinar hubs.ly/Q01H3ClC0 #GraphNeuralNetwork
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.
Join us for an in-depth session on scaling #GraphLearning with a #microservices architecture hubs.ly/Q01J51rn0 #GraphNeuralNetwork
Tomorrow, Tues 4th join us for an in-depth session on scaling #GraphLearning with a #microservices architecture hubs.ly/Q01K23r_0 #GraphNeuralNetwork
Learn how to break down the black box of #GraphLearning #explainability, in this webinar we deep dive into explainability in #GraphNeuralNetwork models in production hubs.ly/Q01KrkqM0
#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! 👉 doi.org/10.1016/j.inff…
🔥 Read our Highly Cited Paper 📚Ransomware Detection Model Based on Adaptive #GraphNeuralNetwork Learning 🔗mdpi.com/2076-3417/14/1… 👨🔬by Jun Li et al. 🏫Beijing Information Science & Technology University #adaptivediffusionconvolution #deeplearning
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 elihei2.github.io/segger_dev/ vs Baysor…
Join us for webinar tomorrow! Breaking down the black box of "explainability" in #GraphNeuralNetwork models in production hubs.ly/Q01MyJSX0 #GraphLearning #DeepLearning
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…
👉👉👉 #Landslide Displacement #Prediction via Attentive #GraphNeuralNetwork ✍️ Ping Kuang et al. 📎 brnw.ch/21wNKGQ
Dual-Channel Heterogeneous #GraphNeuralNetwork for Predicting #microRNA-Mediated Drug Sensitivity GNNs #drugdesign pubs.acs.org/doi/10.1021/ac… #vol62 #issue23 #JCIM #MachineLearning #DeepLearning
Your June demo agenda is ready!!📓 Take a look at participating in any of these demos for FREE!! okt.to/SZR5Yu #GraphNeuralNetwork #Neo4j #GraphDataScience #graphdatabase #demos
#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. ➡️ brnw.ch/21wKZ0k #GraphNeuralNetwork
🌐"ICoN: Integration using co-attention across biological networks" introduces an unsupervised #GraphNeuralNetwork model to create robust protein representations from diverse networks. doi.org/10.1093/bioadv… #ProteinResearch @t_m_murali
With Kumo AI you can take a #GraphNeuralNetwork live in days. We're democratizing #DeepLearning with #AI on a #ModernDataStack. Try us out hubs.ly/Q0268HWD0
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