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Tag: Graph Neural Networks

  • Quantum Error Correction Speeds up to Tackle Computing’s Biggest Hurdle
    Quantum Algorithms, Quantum Hardware

    Quantum Error Correction Speeds up to Tackle Computing’s Biggest Hurdle

    by Rusty FlintMarch 24, 2026
  • Quantum Graphs Learn Data with Fewer Qubits
    Quantum Computing

    Quantum Graphs Learn Data with Fewer Qubits

    by Rohail T.February 20, 2026
  • Machine Learning Predicts Robber Capture with 99% Accuracy
    Machine Learning

    Machine Learning Predicts Robber Capture with 99% Accuracy

    by Rohail T.February 20, 2026
  • Abstract illustration of a circular ring formed by thousands of luminous blue particles, sparks, and light flares arranged in a torus shape against a black background
    Artificial Intelligence

    Graph Learning Benefits from New Mathematical Framework Unifying Diverse Techniques

    by Rohail T.February 18, 2026
  • Abstract illustration of a luminous blue Earth at the center of a circular network, with colorful glowing nodes and icons — including pink, green, and red symbols — orbiting around it connected by dotted lines against a dark background
    Artificial Intelligence

    Molecular Simulations Become 6.5times Faster with New Neural Network Approach

    by Rohail T.February 17, 2026
  • Astronomical illustration of a dense diagonal band of glowing stars, nebula clouds, and cosmic dust stretching across a deep blue-black space background, resembling a section of the Milky Way or a distant galaxy viewed edge-on
    Artificial Intelligence

    Artificial Intelligence Swiftly Predicts Starlight Signatures from Space Molecules

    by Rohail T.February 17, 2026
  • Graph Neural Networks’ Two Main Types Are Fundamentally the Same, Research Reveals
    Artificial Intelligence

    Graph Neural Networks’ Two Main Types Are Fundamentally the Same, Research Reveals

    by Rohail T.February 12, 2026
  • Protein Learning Breakthrough Maps Complex Structures with Unprecedented Detail
    Science

    Protein Learning Breakthrough Maps Complex Structures with Unprecedented Detail

    by Rohail T.February 11, 2026
  • AI Combines Network Maps with Research Papers to Unlock Hidden Disease Connections
    Science

    AI Combines Network Maps with Research Papers to Unlock Hidden Disease Connections

    by Rohail T.February 11, 2026
  • Atom-By-Atom Simulations of Nanoscale Devices Now Possible with Boosted Algorithms
    Quantum Machine Learning

    Atom-By-Atom Simulations of Nanoscale Devices Now Possible with Boosted Algorithms

    by Rohail T.February 11, 2026
  • Graph Neural Networks Reveal Antibody Function in Complex Molecular Landscapes
    Artificial Intelligence

    Graph Neural Networks Reveal Antibody Function in Complex Molecular Landscapes

    by Rohail T.February 6, 2026
  • New Encryption Method Withstands Attacks from Both Computers and Artificial Intelligence
    Quantum Security

    New Encryption Method Withstands Attacks from Both Computers and Artificial Intelligence

    by Rohail T.February 5, 2026
  • Graph Simplification Technique Maintains Crucial Data Links with Unprecedented Speed
    Machine Learning

    Graph Simplification Technique Maintains Crucial Data Links with Unprecedented Speed

    by Rohail T.February 5, 2026
  • Shows Sequence Diffusion Model Captures Uncertainty in Temporal Link Prediction
    Artificial Intelligence

    Shows Sequence Diffusion Model Captures Uncertainty in Temporal Link Prediction

    by Rohail T.February 4, 2026
  • Shows Graph Attention Networks Overcome Noise in Random Geometric Graphs with ErdÅ‘s--Rényi Contamination
    Artificial Intelligence

    Shows Graph Attention Networks Overcome Noise in Random Geometric Graphs with ErdÅ‘s–Rényi Contamination

    by Rohail T.February 4, 2026
  • Graph Neural Networks Achieve Key-Invariant Expression with Unique Node Identifiers
    Machine Learning

    Graph Neural Networks Achieve Key-Invariant Expression with Unique Node Identifiers

    by Rohail T.February 2, 2026
  • Duality-Guided Graph Learning Achieves Real-Time Routing for LEO Mega-Constellations
    Machine Learning

    Duality-Guided Graph Learning Achieves Real-Time Routing for LEO Mega-Constellations

    by Rohail T.February 2, 2026
  • Beyond Pixels, Graph Neural Networks and the Future of Relational Data
    Artificial Intelligence

    Beyond Pixels, Graph Neural Networks and the Future of Relational Data

    by Quantum EvangelistFebruary 2, 2026
  • Graphsb Achieves 4.57% Performance Boost in Imbalanced Node Classification
    Machine Learning

    Graphsb Achieves 4.57% Performance Boost in Imbalanced Node Classification

    by Rohail T.January 30, 2026
  • Fixed Aggregation Features Rival GNNs on 12 Benchmarks, Achieving State-Of-The-Art Results
    Machine Learning

    Fixed Aggregation Features Rival GNNs on 12 Benchmarks, Achieving State-Of-The-Art Results

    by Rohail T.January 30, 2026
  • Mage-Kt Advances Knowledge Tracing by Modelling Inter-Concept Relations and Scale
    Artificial Intelligence

    Mage-Kt Advances Knowledge Tracing by Modelling Inter-Concept Relations and Scale

    by Rohail T.January 28, 2026
  • Boostfgl Achieves Fairness in Federated Graph Learning, Addressing 3 Key Disparities
    Machine Learning

    Boostfgl Achieves Fairness in Federated Graph Learning, Addressing 3 Key Disparities

    by Rohail T.January 28, 2026
  • Multi-Targeted Attack Achieves High Success Rates on Graph Neural Networks
    Machine Learning

    Multi-Targeted Attack Achieves High Success Rates on Graph Neural Networks

    by Rohail T.January 27, 2026
  • Cefgc Achieves 3-Round Federated Graph Classification with Generative Diffusion Models
    Machine Learning

    Cefgc Achieves 3-Round Federated Graph Classification with Generative Diffusion Models

    by Rohail T.January 27, 2026
  • Lorap Achieves Enhanced Quantized Graph Neural Networks Training Performance
    Machine Learning

    Lorap Achieves Enhanced Quantized Graph Neural Networks Training Performance

    by Rohail T.January 26, 2026
  • Pb4u-Gnet Achieves Resolution-Adaptive Garment Simulation, Improving Performance Beyond Training Distributions
    Machine Learning

    Pb4u-Gnet Achieves Resolution-Adaptive Garment Simulation, Improving Performance Beyond Training Distributions

    by Rohail T.January 24, 2026
  • Quantum Machine Learning Achieves Improvement in One-Third of Models with Noise
    Quantum Algorithms

    Quantum Machine Learning Achieves Improvement in One-Third of Models with Noise

    by Rohail T.January 22, 2026
  • Protein Representation Learning Achieves Enhanced Accuracy with Adaptive Multi-Perspective Graph Fusion
    Machine Learning

    Protein Representation Learning Achieves Enhanced Accuracy with Adaptive Multi-Perspective Graph Fusion

    by Rohail T.January 20, 2026
  • Plgc Achieves Label-Free Graph Condensation, Matching Data Statistics Without Ground-Truth Labels
    Machine Learning

    Plgc Achieves Label-Free Graph Condensation, Matching Data Statistics Without Ground-Truth Labels

    by Rohail T.January 19, 2026
  • Parallelizing Graph Neural Networks Enables Faster Node-Level Explainability for Large Graphs
    Machine Learning

    Parallelizing Graph Neural Networks Enables Faster Node-Level Explainability for Large Graphs

    by Rohail T.January 12, 2026
  • Robust Solution Advances GNN Performance with Dense Features and Realistic Missing Data
    Machine Learning

    Robust Solution Advances GNN Performance with Dense Features and Realistic Missing Data

    by Rohail T.January 12, 2026
  • Neural Algorithmic Reasoning Advances Approximate Coloring with Recursive Warm Starts for Graph Problems
    Machine Learning

    Neural Algorithmic Reasoning Advances Approximate Coloring with Recursive Warm Starts for Graph Problems

    by Rohail T.January 12, 2026
  • Acdzero Achieves Sample-Efficient Cyber Defense with Graph-Embedding Tree Search
    Space

    Acdzero Achieves Sample-Efficient Cyber Defense with Graph-Embedding Tree Search

    by Rohail T.January 9, 2026
  • Frequency-guided Structure Learning Advances Graph Neural Networks for Heterophilic Data Challenges
    Machine Learning

    Frequency-guided Structure Learning Advances Graph Neural Networks for Heterophilic Data Challenges

    by Rohail T.January 6, 2026
  • Diffeomorph Achieves 3D Shape Morphing Via Differentiable Agent-Based Simulations
    Technology

    Diffeomorph Achieves 3D Shape Morphing Via Differentiable Agent-Based Simulations

    by Rohail T.December 30, 2025
  • Hwl-hin Advances Hypergraph Learning, Matching Theoretical Limits with Application to Robustness
    Machine Learning

    Hwl-hin Advances Hypergraph Learning, Matching Theoretical Limits with Application to Robustness

    by Rohail T.December 29, 2025
  • Surrogate Model Achieves Sub-Angstrom Accuracy in Molecular Dynamics Simulations
    Machine Learning

    Surrogate Model Achieves Sub-Angstrom Accuracy in Molecular Dynamics Simulations

    by Rohail T.December 29, 2025
  • Graph Neural Networks Power ALETHEIA, Advancing Social Media Campaign Detection with 96.6% Accuracy
    Machine Learning

    Graph Neural Networks Power ALETHEIA, Advancing Social Media Campaign Detection with 96.6% Accuracy

    by Rohail T.December 29, 2025
  • Deep Learning Pipeline Achieves 95% Accuracy in Designing Fluid Ferroelectric Materials
    Technology

    Deep Learning Pipeline Achieves 95% Accuracy in Designing Fluid Ferroelectric Materials

    by Rohail T.December 22, 2025
  • Cloud Quantum Computing Gains Forensic Tool, Pinpointing Hardware Noise and Resource Allocation
    Quantum Computing

    Cloud Quantum Computing Gains Forensic Tool, Pinpointing Hardware Noise and Resource Allocation

    by Rohail T.December 18, 2025
  • Graph-based Bayesian Optimization Discovers Variational Quantum Circuits for Cybersecurity Data Analysis
    Quantum Machine Learning

    Graph-based Bayesian Optimization Discovers Variational Quantum Circuits for Cybersecurity Data Analysis

    by Rohail T.December 12, 2025
  • Vs-graph Achieves 5% Higher Accuracy in Graph Classification Using Hyperdimensional Computing and Scalable Vector-symbolic Representations
    Science

    Vs-graph Achieves 5% Higher Accuracy in Graph Classification Using Hyperdimensional Computing and Scalable Vector-symbolic Representations

    by Rohail T.December 8, 2025
  • Pvls: Machine Learning Predicts Quantum Linear Solver Parameters, Achieving 2.6x Optimisation Speedup
    Quantum Machine Learning

    Pvls: Machine Learning Predicts Quantum Linear Solver Parameters, Achieving 2.6x Optimisation Speedup

    by Rohail T.December 5, 2025
  • Machine Learning Prediction of Material Properties Improves with Phonon-Informed Datasets
    Technology

    Machine Learning Prediction of Material Properties Improves with Phonon-Informed Datasets

    by Rohail T.November 21, 2025
  • Deep Learning Accelerates First-Principles Quantum Transport Simulations Without Manual Feature Engineering
    Technology

    Deep Learning Accelerates First-Principles Quantum Transport Simulations Without Manual Feature Engineering

    by Rohail T.October 30, 2025
  • Quantum-chemical Machine Learning with ELF Maps Predicts Drug Interactions at 0.0386-0.0387 Affinity, Reducing Risk by 0.0112
    Quantum Machine Learning, Quantum Research News

    Quantum-chemical Machine Learning with ELF Maps Predicts Drug Interactions at 0.0386-0.0387 Affinity, Reducing Risk by 0.0112

    by Rohail T.October 14, 2025
  • Scene Graphs in Surgery Demonstrate a Data Divide Between 2D Video and 4D Modeling
    Emerging Technology, Quantum Research News

    Scene Graphs in Surgery Demonstrate a Data Divide Between 2D Video and 4D Modeling

    by Rohail T.September 27, 2025
  • Matskraft Framework Achieves 88.68% F1 Score for Large-Scale Materials Knowledge Extraction from Tables
    Artificial Intelligence

    Matskraft Framework Achieves 88.68% F1 Score for Large-Scale Materials Knowledge Extraction from Tables

    by The NeuronSeptember 15, 2025
  • Network Routing Breakthrough: GNN-POMDP Framework Enables Scalable, Robust Policies in Dynamic Systems
    Quantum Physics

    Network Routing Breakthrough: GNN-POMDP Framework Enables Scalable, Robust Policies in Dynamic Systems

    by Dr. DonovanSeptember 12, 2025
  • Researchers Achieve 0.97 Accuracy in Flood Forecasting with Graph Neural Networks and 15x Speedup
    Artificial Intelligence

    Researchers Achieve 0.97 Accuracy in Flood Forecasting with Graph Neural Networks and 15x Speedup

    by Dr. DonovanSeptember 4, 2025
  • Graph Neural Network Predicts Optimal Quantum Hardware for Circuit Execution
    Quantum Hardware

    Graph Neural Network Predicts Optimal Quantum Hardware for Circuit Execution

    by Dr. DonovanJuly 28, 2025
  • Quantum Graph Networks Enhance Data Reconstruction and Secure Information Hiding.
    Quantum Security

    Quantum Graph Networks Enhance Data Reconstruction and Secure Information Hiding.

    by Dr. DonovanJuly 1, 2025
  • Quantum Kernel Design Improves Accuracy on Near-Term Hardware.
    Quantum Machine Learning

    Quantum Kernel Design Improves Accuracy on Near-Term Hardware.

    by Dr. DonovanJune 27, 2025
  • Graph Foundation Models Emerge From Transformer Architecture and Random Walks.
    Artificial Intelligence

    Graph Foundation Models Emerge From Transformer Architecture and Random Walks.

    by Dr. DonovanJune 18, 2025
  • AI-Driven System to Accelerate Immunotherapy Design Receives NSF Funding
    Artificial Intelligence

    AI-Driven System to Accelerate Immunotherapy Design Receives NSF Funding

    by Dr. DonovanMay 31, 2025
  • MLCommons Launches Enhanced MLPerf Inference v5.0 with Expanded Tests and Comprehensive AI Insights
    Artificial Intelligence

    MLCommons Launches Enhanced MLPerf Inference v5.0 with Expanded Tests and Comprehensive AI Insights

    by Dr. DonovanApril 3, 2025
  • Graph Neural Networks Decode Quantum LDPC Codes Efficiently
    Quantum Algorithms

    Graph Neural Networks Decode Quantum LDPC Codes Efficiently

    by Dr. DonovanDecember 8, 2024
  • AI Tool Speeds Up Discovery of Energy and Quantum Materials
    Quantum Applications

    AI Tool Speeds Up Discovery of Energy and Quantum Materials

    by Dr. DonovanOctober 8, 2024
  • Python And Artificial Intelligence
    Artificial Intelligence

    Python And Artificial Intelligence

    by Dr. DonovanSeptember 21, 2024
  • What is Retro-Causality?
    Physics

    What is Retro-Causality?

    by Ivy DelaneySeptember 21, 2024
  • Hong Kong University Develops Quantum Algorithm for Enhanced QUBO Task Performance
    Quantum Algorithms

    Quantum Algorithm for Enhanced QUBO Task Performance

    by Dr. DonovanApril 14, 2024
  • Osaka University Team Develops New Method for Predicting Chemical Properties Using Neural Networks
    Quantum Research News

    Osaka University Team Develops New Method for Predicting Chemical Properties Using Neural Networks

    by Dr. DonovanMarch 7, 2024
  • PRESTO Framework Maps Multiverse of Machine Learning Models, Enhancing Reliability and Robustness
    Machine Learning

    PRESTO Framework Maps Multiverse of Machine Learning Models, Enhancing Reliability and Robustness

    by Ivy DelaneyFebruary 7, 2024
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