GNNs predict when quantum decoders will fail, enabling early rejection of bad calculations. Surface codes achieved 3700x logical error reduction; BB codes 740x—advancing toward fault-tolerant quantum computing with reduced overhead.
#QuantumErrorCorrection #GraphNeuralNetworks #News
#QuantumErrorCorrection #GraphNeuralNetworks #News
Graph Neural Networks Achieve 3700x Error Reduction in Quantum Error Correction
quantumzeitgeist.com
November 8, 2026 at 11:43 PM
GNNs predict when quantum decoders will fail, enabling early rejection of bad calculations. Surface codes achieved 3700x logical error reduction; BB codes 740x—advancing toward fault-tolerant quantum computing with reduced overhead.
#QuantumErrorCorrection #GraphNeuralNetworks #News
#QuantumErrorCorrection #GraphNeuralNetworks #News
Recurrent neural decoder reduces QC-MDPC decoding failures by 63.7% at moderate noise levels, effectively breaking limit-cycle oscillations while defending against reaction-based key-recovery attacks in post-quantum cryptosystems.
#PostQuantumCryptography #GraphNeuralNetworks #Research
#PostQuantumCryptography #GraphNeuralNetworks #Research
Graph Neural Networks for Post-Quantum McEliece Cryptographic Decoding
arxiv.org
October 30, 2026 at 4:19 AM
Recurrent neural decoder reduces QC-MDPC decoding failures by 63.7% at moderate noise levels, effectively breaking limit-cycle oscillations while defending against reaction-based key-recovery attacks in post-quantum cryptosystems.
#PostQuantumCryptography #GraphNeuralNetworks #Research
#PostQuantumCryptography #GraphNeuralNetworks #Research
Recurrent neural decoder reduces QC-MDPC decoding failures by 63.7% at moderate noise levels, effectively breaking limit-cycle oscillations while defending against reaction-based key-recovery attacks in post-quantum cryptosystems.
#PostQuantumCryptography #GraphNeuralNetworks #Research
#PostQuantumCryptography #GraphNeuralNetworks #Research
Graph Neural Networks for Post-Quantum McEliece Cryptographic Decoding
arxiv.org
October 30, 2026 at 4:19 AM
Recurrent neural decoder reduces QC-MDPC decoding failures by 63.7% at moderate noise levels, effectively breaking limit-cycle oscillations while defending against reaction-based key-recovery attacks in post-quantum cryptosystems.
#PostQuantumCryptography #GraphNeuralNetworks #Research
#PostQuantumCryptography #GraphNeuralNetworks #Research
Processing complex network topology, molecular graphs, and social ties using custom GNN architectures. Galgotias University drives advanced research at the intersection of graph theory and AI! 🕸️🧠
#GalgotiasUniversity #MachineLearning #GraphNeuralNetworks #DataScience
#GalgotiasUniversity #MachineLearning #GraphNeuralNetworks #DataScience
October 24, 2026 at 2:01 PM
Processing complex network topology, molecular graphs, and social ties using custom GNN architectures. Galgotias University drives advanced research at the intersection of graph theory and AI! 🕸️🧠
#GalgotiasUniversity #MachineLearning #GraphNeuralNetworks #DataScience
#GalgotiasUniversity #MachineLearning #GraphNeuralNetworks #DataScience
Researchers treat money-mule scoring as relational learning over a bank's heterogeneous graph, using HeteroGraphSAGE over multi-hop neighborhoods with per-column encoders and relative-time encoding to flag…
#AI #MachineLearning #GraphNeuralNetworks #FraudDetection
https://arxiv.org/abs/2610.21314
#AI #MachineLearning #GraphNeuralNetworks #FraudDetection
https://arxiv.org/abs/2610.21314
October 17, 2026 at 12:01 PM
Researchers treat money-mule scoring as relational learning over a bank's heterogeneous graph, using HeteroGraphSAGE over multi-hop neighborhoods with per-column encoders and relative-time encoding to flag…
#AI #MachineLearning #GraphNeuralNetworks #FraudDetection
https://arxiv.org/abs/2610.21314
#AI #MachineLearning #GraphNeuralNetworks #FraudDetection
https://arxiv.org/abs/2610.21314
🚀 Dive into explainable time forecasting! See how graph neural networks turn raw series into clear insights. Ready to boost your predictions? #AI #TimeSeriesForecasting #GraphNeuralNetworks #ExplainableAI 🔗
🚀 Dive into explainable time forecasting! See how graph neural networks turn raw series into clear i
bytejournal.online
October 15, 2026 at 9:39 AM
🚀 Dive into explainable time forecasting! See how graph neural networks turn raw series into clear insights. Ready to boost your predictions? #AI #TimeSeriesForecasting #GraphNeuralNetworks #ExplainableAI 🔗
📢 Full Manuscript (Version 2)
"Developing AI as a Transformative Global Catalyst: The C = G ⊙ I² Framework via Hadamard Formulation..."
independent.academia.edu/SIsarankura
doi.org/10.5281/zeno...
#AISafety #AIAlignment #StrategicIT #GraphNeuralNetworks #SDG17 #HadamardFormulation #IEEE
"Developing AI as a Transformative Global Catalyst: The C = G ⊙ I² Framework via Hadamard Formulation..."
independent.academia.edu/SIsarankura
doi.org/10.5281/zeno...
#AISafety #AIAlignment #StrategicIT #GraphNeuralNetworks #SDG17 #HadamardFormulation #IEEE
October 8, 2026 at 5:49 AM
📢 Full Manuscript (Version 2)
"Developing AI as a Transformative Global Catalyst: The C = G ⊙ I² Framework via Hadamard Formulation..."
independent.academia.edu/SIsarankura
doi.org/10.5281/zeno...
#AISafety #AIAlignment #StrategicIT #GraphNeuralNetworks #SDG17 #HadamardFormulation #IEEE
"Developing AI as a Transformative Global Catalyst: The C = G ⊙ I² Framework via Hadamard Formulation..."
independent.academia.edu/SIsarankura
doi.org/10.5281/zeno...
#AISafety #AIAlignment #StrategicIT #GraphNeuralNetworks #SDG17 #HadamardFormulation #IEEE
Advection-aware graphs boost solar ramp forecasts only when cloud motion is accurate. With noisy motion, #SolarForecasting #GraphNeuralNetworks #Nowcasting #MachineLearning
https://freegardner.com/synapse/when-advection-aware-graph-nowcasting-helps-solar-forecasting.html
https://freegardner.com/synapse/when-advection-aware-graph-nowcasting-helps-solar-forecasting.html
When Advection-Aware Graph Nowcasting Helps Solar Forecasting
When Advection-Aware Graph Nowcasting Helps Solar Forecasting
freegardner.com
October 5, 2026 at 7:32 PM
Advection-aware graphs boost solar ramp forecasts only when cloud motion is accurate. With noisy motion, #SolarForecasting #GraphNeuralNetworks #Nowcasting #MachineLearning
https://freegardner.com/synapse/when-advection-aware-graph-nowcasting-helps-solar-forecasting.html
https://freegardner.com/synapse/when-advection-aware-graph-nowcasting-helps-solar-forecasting.html
Many thanks to everyone who contributed to the work and to the reviewers for helping us strengthen the study.
#SpatialOmics #SpatialBiology #GraphNeuralNetworks #ExplainableAI #ComputationalBiology #CancerResearch
#SpatialOmics #SpatialBiology #GraphNeuralNetworks #ExplainableAI #ComputationalBiology #CancerResearch
September 29, 2026 at 8:54 AM
Many thanks to everyone who contributed to the work and to the reviewers for helping us strengthen the study.
#SpatialOmics #SpatialBiology #GraphNeuralNetworks #ExplainableAI #ComputationalBiology #CancerResearch
#SpatialOmics #SpatialBiology #GraphNeuralNetworks #ExplainableAI #ComputationalBiology #CancerResearch
Researchers created a Graph Neural Network framework that predicts quantum circuit performance on different processors before compilation, reducing computational costs by up to 10x and enabling optimal task scheduling across diverse quantum hardware.
#QuantumScheduling #GraphNeuralNetworks #News
#QuantumScheduling #GraphNeuralNetworks #News
Graph Neural Networks Predict Quantum Circuit Fidelity for Multiprocessor Scheduling
quantumzeitgeist.com
September 10, 2026 at 2:47 PM
Researchers created a Graph Neural Network framework that predicts quantum circuit performance on different processors before compilation, reducing computational costs by up to 10x and enabling optimal task scheduling across diverse quantum hardware.
#QuantumScheduling #GraphNeuralNetworks #News
#QuantumScheduling #GraphNeuralNetworks #News
🤖 Task and Structure Priors Boost Graph Prompt Learning
The TPGC model's dual prior prompt initialization solution, which combines task and structural priors, achieves better performance than state of the art...
#GraphNeuralNetworks #DeepLearning #BenchmarksEvaluation #AI #AIPulse
The TPGC model's dual prior prompt initialization solution, which combines task and structural priors, achieves better performance than state of the art...
#GraphNeuralNetworks #DeepLearning #BenchmarksEvaluation #AI #AIPulse
Read the full article →
www.synestesia.uk
September 2, 2026 at 7:39 AM
🤖 Task and Structure Priors Boost Graph Prompt Learning
The TPGC model's dual prior prompt initialization solution, which combines task and structural priors, achieves better performance than state of the art...
#GraphNeuralNetworks #DeepLearning #BenchmarksEvaluation #AI #AIPulse
The TPGC model's dual prior prompt initialization solution, which combines task and structural priors, achieves better performance than state of the art...
#GraphNeuralNetworks #DeepLearning #BenchmarksEvaluation #AI #AIPulse
🤖 New AI Model SLM-Conditioned Hierarchical Relation Routing Boosts Graph Neural Network Accuracy
The SLM Conditioned Hierarchical Relation Routing architecture, which integrates a small language model into...
#GraphNeuralNetworks #DeepLearning #PredictiveModels #AI #AIPulse
The SLM Conditioned Hierarchical Relation Routing architecture, which integrates a small language model into...
#GraphNeuralNetworks #DeepLearning #PredictiveModels #AI #AIPulse
Read the full article →
www.synestesia.uk
August 28, 2026 at 1:38 PM
🤖 New AI Model SLM-Conditioned Hierarchical Relation Routing Boosts Graph Neural Network Accuracy
The SLM Conditioned Hierarchical Relation Routing architecture, which integrates a small language model into...
#GraphNeuralNetworks #DeepLearning #PredictiveModels #AI #AIPulse
The SLM Conditioned Hierarchical Relation Routing architecture, which integrates a small language model into...
#GraphNeuralNetworks #DeepLearning #PredictiveModels #AI #AIPulse
Technology Trends Wrecking Supply-Chain Visibility In 2026
https://techwiki.site/technology-trends-wrecking-supply-chain-visibility/?utm_source=bluesky&utm_medium=social
#graphneuralnetworks #realtimesupplychainvisibility #endtoendsupplychainmapping
https://techwiki.site/technology-trends-wrecking-supply-chain-visibility/?utm_source=bluesky&utm_medium=social
#graphneuralnetworks #realtimesupplychainvisibility #endtoendsupplychainmapping
August 27, 2026 at 1:16 AM
Technology Trends Wrecking Supply-Chain Visibility In 2026
https://techwiki.site/technology-trends-wrecking-supply-chain-visibility/?utm_source=bluesky&utm_medium=social
#graphneuralnetworks #realtimesupplychainvisibility #endtoendsupplychainmapping
https://techwiki.site/technology-trends-wrecking-supply-chain-visibility/?utm_source=bluesky&utm_medium=social
#graphneuralnetworks #realtimesupplychainvisibility #endtoendsupplychainmapping
🤖 New AI Method Links Molecular Structure to Electronic Properties
Researchers have developed an E(3) equivariant cellular sheaf network that accurately predicts molecular electronic structure by bridging sheaf...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Researchers have developed an E(3) equivariant cellular sheaf network that accurately predicts molecular electronic structure by bridging sheaf...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Read the full article →
www.synestesia.uk
August 26, 2026 at 6:32 AM
🤖 New AI Method Links Molecular Structure to Electronic Properties
Researchers have developed an E(3) equivariant cellular sheaf network that accurately predicts molecular electronic structure by bridging sheaf...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Researchers have developed an E(3) equivariant cellular sheaf network that accurately predicts molecular electronic structure by bridging sheaf...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
🤖 GxP-Agent Achieves 100% Compliance in Clinical Trial Programming
GxP Agent, a multi agent system, has successfully automated clinical trial programming with 100% structural match on CDISC Bench, outperforming...
#GenerativeAI #GraphNeuralNetworks #Benchmarking #AI #AIPulse
GxP Agent, a multi agent system, has successfully automated clinical trial programming with 100% structural match on CDISC Bench, outperforming...
#GenerativeAI #GraphNeuralNetworks #Benchmarking #AI #AIPulse
Read the full article →
www.synestesia.uk
August 19, 2026 at 3:35 PM
🤖 GxP-Agent Achieves 100% Compliance in Clinical Trial Programming
GxP Agent, a multi agent system, has successfully automated clinical trial programming with 100% structural match on CDISC Bench, outperforming...
#GenerativeAI #GraphNeuralNetworks #Benchmarking #AI #AIPulse
GxP Agent, a multi agent system, has successfully automated clinical trial programming with 100% structural match on CDISC Bench, outperforming...
#GenerativeAI #GraphNeuralNetworks #Benchmarking #AI #AIPulse
🤖 AI Model Separates Geometry and Topology in Physical Field Learning
Researchers have introduced Riemannian Hodge Message Passing (RHMP), an AI model that learns separate geometry and topology for physical fields on...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Researchers have introduced Riemannian Hodge Message Passing (RHMP), an AI model that learns separate geometry and topology for physical fields on...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Read the full article →
www.synestesia.uk
August 18, 2026 at 9:35 AM
🤖 AI Model Separates Geometry and Topology in Physical Field Learning
Researchers have introduced Riemannian Hodge Message Passing (RHMP), an AI model that learns separate geometry and topology for physical fields on...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Researchers have introduced Riemannian Hodge Message Passing (RHMP), an AI model that learns separate geometry and topology for physical fields on...
#PhysicsInformedAI #DeepLearning #GraphNeuralNetworks #AI #AIPulse
Graph neural networks, GNNs, represent a unique type of neural network models that handle data in graph structures. #graphneuralnetworks #datamodelling https://machinelearningmastery.com/a-gentle-introduction-to-graph-neural-networks-in-python/
https://machinelearningmastery.com/a-gentle-introduction-to-graph-neural-networks-in-python/
machinelearningmastery.com
March 26, 2025 at 6:46 AM
Graph neural networks, GNNs, represent a unique type of neural network models that handle data in graph structures. #graphneuralnetworks #datamodelling https://machinelearningmastery.com/a-gentle-introduction-to-graph-neural-networks-in-python/
Interpretable #Physics Informed #GraphNeuralNetworks For #Flood #Forecasting
-
doi.org/10.1111/mice...
-
#GIS #spatial #mapping #AI #hydrology #MachineLearning #HydroGraphNet #water #spatialanalysis #climatechange #model #extremeweather #publicsafety #cost #economics #infrastructure #risk #hazard
-
doi.org/10.1111/mice...
-
#GIS #spatial #mapping #AI #hydrology #MachineLearning #HydroGraphNet #water #spatialanalysis #climatechange #model #extremeweather #publicsafety #cost #economics #infrastructure #risk #hazard
April 16, 2025 at 4:17 AM
Just published a new blog on 🎱 Pooling in #GraphNeuralNetworks!
💡Learn the fundamentals through this gentle introduction and discover how they can improve your GNN applications.
👉 Check it out here: gnn-pooling.notion.site
#GNN #MachineLearning #AI
💡Learn the fundamentals through this gentle introduction and discover how they can improve your GNN applications.
👉 Check it out here: gnn-pooling.notion.site
#GNN #MachineLearning #AI
1/3 - Pooling in Graph Neural Networks
November 2024
gnn-pooling.notion.site
December 19, 2024 at 3:51 PM
Just published a new blog on 🎱 Pooling in #GraphNeuralNetworks!
💡Learn the fundamentals through this gentle introduction and discover how they can improve your GNN applications.
👉 Check it out here: gnn-pooling.notion.site
#GNN #MachineLearning #AI
💡Learn the fundamentals through this gentle introduction and discover how they can improve your GNN applications.
👉 Check it out here: gnn-pooling.notion.site
#GNN #MachineLearning #AI
Join us today at #NeurIPS2024 for our poster presentation:
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
🗓️ When: Wed, Dec 11, 11 a.m. – 2 p.m. PST
📍 Where: East Exhibit Hall A-C, Poster #4107
#MachineLearning #InteratomicPotentials #Equivariance #GraphNeuralNetworks
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
🗓️ When: Wed, Dec 11, 11 a.m. – 2 p.m. PST
📍 Where: East Exhibit Hall A-C, Poster #4107
#MachineLearning #InteratomicPotentials #Equivariance #GraphNeuralNetworks
📣 Can we go beyond state-of-the-art message-passing models based on spherical tensors such as #MACE and #NequIP?
Our #NeurIPS2024 paper explores higher-rank irreducible Cartesian tensors to design equivariant #MLIPs.
Paper: arxiv.org/abs/2405.14253
Code: github.com/nec-research...
Our #NeurIPS2024 paper explores higher-rank irreducible Cartesian tensors to design equivariant #MLIPs.
Paper: arxiv.org/abs/2405.14253
Code: github.com/nec-research...
December 11, 2024 at 3:38 PM
Join us today at #NeurIPS2024 for our poster presentation:
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
🗓️ When: Wed, Dec 11, 11 a.m. – 2 p.m. PST
📍 Where: East Exhibit Hall A-C, Poster #4107
#MachineLearning #InteratomicPotentials #Equivariance #GraphNeuralNetworks
Higher-Rank Irreducible Cartesian Tensors for Equivariant Message Passing
🗓️ When: Wed, Dec 11, 11 a.m. – 2 p.m. PST
📍 Where: East Exhibit Hall A-C, Poster #4107
#MachineLearning #InteratomicPotentials #Equivariance #GraphNeuralNetworks
3/ It highlights the challenges of scaling GNNs to large datasets and the trade-offs in subgraph sampling and memory management.
You can find more details here: mlcommons.org/2025/04/rgat...
#GraphNeuralNetworks #GNN #MachineLearning #AI #Benchmark #RGAT #Inference
You can find more details here: mlcommons.org/2025/04/rgat...
#GraphNeuralNetworks #GNN #MachineLearning #AI #Benchmark #RGAT #Inference
April 4, 2025 at 8:57 AM
3/ It highlights the challenges of scaling GNNs to large datasets and the trade-offs in subgraph sampling and memory management.
You can find more details here: mlcommons.org/2025/04/rgat...
#GraphNeuralNetworks #GNN #MachineLearning #AI #Benchmark #RGAT #Inference
You can find more details here: mlcommons.org/2025/04/rgat...
#GraphNeuralNetworks #GNN #MachineLearning #AI #Benchmark #RGAT #Inference
Exploring the fusion of #SemanticWeb and #GraphNeuralNetworks. Imagine a game where your actions reshape the virtual world's underlying graph, and the quality of your experience is a direct measure of the system's evolving intelligence. Could it be fun? #GNN #RDF #FeedbackLoop
September 21, 2023 at 12:38 AM
Exploring the fusion of #SemanticWeb and #GraphNeuralNetworks. Imagine a game where your actions reshape the virtual world's underlying graph, and the quality of your experience is a direct measure of the system's evolving intelligence. Could it be fun? #GNN #RDF #FeedbackLoop
A new taxonomy for higher-order graph neural networks has been released, clarifying their classification. Read more: https://getnews.me/new-taxonomy-clarifies-higher-order-graph-neural-networks/ #graphneuralnetworks #taxonomy #machinelearning
October 8, 2025 at 12:48 PM
A new taxonomy for higher-order graph neural networks has been released, clarifying their classification. Read more: https://getnews.me/new-taxonomy-clarifies-higher-order-graph-neural-networks/ #graphneuralnetworks #taxonomy #machinelearning
NatGVD achieves up to 53.04% natural adversarial evasion against GNN‑based and transformer vulnerability detectors, per a study submitted on 6 Oct 2025. https://getnews.me/natgvd-natural-adversarial-attack-on-graph-based-vulnerability-detection/ #graphneuralnetworks #adversarialattack
October 8, 2025 at 6:21 AM
NatGVD achieves up to 53.04% natural adversarial evasion against GNN‑based and transformer vulnerability detectors, per a study submitted on 6 Oct 2025. https://getnews.me/natgvd-natural-adversarial-attack-on-graph-based-vulnerability-detection/ #graphneuralnetworks #adversarialattack