“近年、Graph Neural Network（GNN）は推薦・化学・知識グラフなど様々な分野で使われていますが、2020年に DeepMind が提案した MeshGraphNets（MGN） は、その中でも特に”

“The paper's key finding is the development of FSF and its successful application in graph classification, leading to improved performance compared to existing methods, especially when integrated with graph neural networks.”

“Achieved a classification accuracy of 96.25% on the HCPTask dataset.”

“HeteroHBA consistently achieves higher attack success than prior backdoor baselines with comparable or smaller impact on clean accuracy.”

“Tree-based ensemble methods, including Random Forest and XGBoost, proved inherently robust to this violation, achieving an R-squared of 0.765 and RMSE of 0.731 logP units on the test set.”

“The paper proposes an auxiliary task learning (ATL) method for reconstructing missing PMU data.”

“Analyzing 1.4 million customer transactions across seven markets, our approach reduces false positive and false negative rates to 4.64% and 11.07%, substantially outperforming single-institution models. The framework prevents 79.25% of potential losses versus 49.41% under fixed-rule policies.”

“DUALFloodGNN achieves substantial improvements in predicting multiple hydrologic variables while maintaining high computational efficiency.”

“The learned model consistently reduces the discrepancy between quantum and classical solutions beyond what is achieved by ZNE alone.”

“The likelihood can be expressed in terms of small subgraphs.”

“The paper highlights the effectiveness of various GNN models in detecting fraud and addresses challenges like class imbalance and fraudulent camouflage.”

“The method demonstrated in this work opens up a new way to achieve fast, universal, and experiment-calibrated XANES prediction.”

“The GNN-TF model outperforms state-of-the-art methods, delivering superior predictive accuracy for predicting future tobacco usage.”

“A simple dynamic Graph Neural Network (GNN) is representative enough to outperform LLMs in debugging tabular log.”

“GRExplainer extracts node sequences as a unified feature representation, making it independent of specific input formats and thus applicable to both snapshot-based and event-based TGNNs.”

“"tried out cnns and resnets, for 3d models they underfit significantly. Any suggestions for NN architectures."”

“The proposed framework maintains robust detection performance under concept drift.”

“BLISS adapts to evolving node importance, leading to more informed node selection and improved performance.”

“The surrogate achieves sub angstrom level accuracy within the training horizon and exhibits stable behavior during short- to mid-horizon temporal extrapolation.”

“”

“”

“The research focuses on a 'Multi-fidelity Double-Delta Wing Dataset' and its application to GNN-based aerodynamic field surrogates.”

“”

“The article focuses on maritime anomaly detection.”

“MAPI-GNN is designed for multimodal medical diagnosis.”

“The research utilizes a hybrid global local computational framework.”

“The paper likely explores the application of GNNs to model the complex relationships within IoT networks and the use of adversarial defense techniques to improve the robustness of the malware detection system.”

“The paper uses Spatio-Temporal Graph Neural Networks.”

“The research is sourced from ArXiv, indicating it's a peer-reviewed research paper.”

“”

“”

“”

“The paper focuses on photonic spiking graph neural networks.”

“The research focuses on the classification of synthetic graph generative models.”

“The paper focuses on an Adaptive Patient-Centric GNN with Context-Aware Attention and Mini-Graph Explainability.”

“The research focuses on a Distributed Hierarchical Spatio-Temporal Edge-Enhanced Graph Neural Network for City-Scale Dynamic Logistics Routing.”

“”

“The article is from ArXiv, indicating it is likely a pre-print of a research paper.”

“”

“The study utilizes Online Semi-Decentralized ST-GNNs.”

“”

“The article is a review and benchmark study.”

“The article focuses on improving the clustering of spatial transcriptomics data, a field where accurate analysis is crucial for understanding biological processes.”

“The article likely presents a novel approach to simulating interferometers using GNNs, potentially offering advantages in terms of computational cost or simulation accuracy.”

“”

“The research focuses on the application of GNNs to numerical data related to cementitious materials.”

“”

“The paper focuses on multivariate time series forecasting with a hybrid Euclidean-SPD Manifold Graph Neural Network.”

“The article is a 'complete guide' to the topic.”

“Empirical Robustness Across Domains.”