graph-neural-networks

Documents about graph-neural-networks

• Graph Neural Network based Hierarchy-Aware Embeddings of Knowledge Graphs: Applications to Yeast Phenotype Prediction#155311arXiv CS
• A multi-scale feature enhanced graph neural network for fluid dynamics prediction in complex geometries#363254arXiv CS
• ReDIL-GNN: Resynthesis Domain Incremental Learning for Circuit Graph Neural Networks#1012772arXiv (All)
• Robust graph-based fraud detection against camouflage#445398Figshare
• A graph-integrated reinforcement learning framework with graph neural networks for tactical decision modeling in professional football.#610410NCBI PubMed Central
• Empowering Digital Twin for Future Networks with Graph Neural Networks: Overview, Enabling Technologies, Challenges, and Opportunities#257707HAL (France)
• RAG-GNN: Integrating Retrieved Knowledge with Graph Neural Networks for Precision Medicine#1034172arXiv (All)
• Topology-aware design of spiking neural networks via modular graph architectures.#3703NCBI PubMed Central
• Bridging Graph Drawing and Dimensionality Reduction with Stochastic Stress Optimization#151744arXiv CS
• Transferable Delay-Aware Reinforcement Learning via Implicit Causal Graph Modeling#178903arXiv CS
• SAHG: Sector-Anisotropic Hyperbolic Graph Model for Social Bot Detection#238628arXiv CS
• Graph Neural Networks for Realistic Bleeding Prediction in Surgical Simulators.#258396NCBI PubMed Central
• Spatiotemporal weather forecasting via multi-scale graph neural networks and latent diffusion models.#262826NCBI PubMed Central
• Equivariant Graph Neural Networks Improve Optical Spectra Prediction for Materials Screening#287172arXiv CS
• FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning#324878arXiv CS
• HNSW with Accuracy Guarantees Using Graph Spanners -- A Technical Report#332529arXiv CS
• On the convergence of graph Laplacians with a symmetric divergence#346531arXiv CS
• Temporal Knowledge Graph Forecasting under Distribution Shifts: A Synthetic Evaluation#361475arXiv CS
• MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model#370343arXiv CS
• Grad2Fair: A Gradient-driven Approach for Graph Fairness without Demographics#373414arXiv CS
• Same Graph Cross-Task Transfer in GNNs: Protocols and Predictors#414094arXiv CS
• 3D Weighted Geometric Graph Neural Networks for Sheep Facial Pain Assessment#444669arXiv CS
• Trojaning the Alignment: Stealthy Backdoor Attacks against Graph Foundation Models#480067arXiv CS
• Disentangling Homophily and Rarity: Explaining Failure in Graph Neural Networks#609246arXiv (OAI Expanded)
• Edge-Girth as a Structural Edge Feature for Graph Neural Networks#821374arXiv (All)
• Scalability of Graph Neural Network Policies in Wireless Communication Networks#973675arXiv (All)
• Graph neural networks for exoplanet atmospheres#1011609arXiv (All)
• Echo state graph neural networks with analogue random resistive memory arrays#203229OpenAlex
• Adversarial Label Invariant Graph Data Augmentations for Out-of-Distribution Generalization#2597arXiv CS
• Equivariant Efficient Joint Discrete and Continuous MeanFlow for Molecular Graph Generation#2615arXiv CS
• Enhancing depression diagnosis with augmented brain signal driven decorrelated graph neural networks.#3869NCBI PubMed Central
• Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective#19724Semantic Scholar
• Building a Digital Twin for network optimization using Graph Neural Networks#19734Semantic Scholar
• RouteNet: Leveraging Graph Neural Networks for Network Modeling and Optimization in SDN#19755Semantic Scholar
• ATLAS: Efficient Out-of-Core Inference for Billion-Scale Graph Neural Networks#175215arXiv CS
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189010arXiv
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189060arXiv Biology
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189110arXiv (OAI Expanded)
• Explaining the Explainers in Graph Neural Networks: a Comparative Study#189160arXiv (OAI)
• ChronoSurv: A Clinical Pathway-Guided Graph Framework for Multimodal Survival Analysis#287144arXiv CS
• Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach#290587arXiv CS
• Boundary Embedding Shaping with Adaptive Contrastive Learning for Graph Structural Disentanglement#290601arXiv CS
• A Fair Evaluation of Graph Foundation Models for Node Property Prediction#303205arXiv CS
• Hierarchical Graph Learning for Calendar Spread Strategies in Commodity Futures Markets#307027arXiv CS
• Fast Rates for Semi-Supervised Learning via Data-Augmentation Graph Regularization#349632arXiv CS
• When Prompts Ignore Structure: Graph-Based Attribute Reasoning for Calibrated VLMs#349644arXiv CS
• Dimensionality Reduction Meets Network Science: Sensemaking on UMAP's kNN Graph#353039arXiv CS
• Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning#440387arXiv CS
• Edge Sparsification via Temporal Forman-Ricci Curvature for Dynamic Graph Learning#440388arXiv CS
• A Factor Graph Approach to Scalable Multi-Output Gaussian Process Regression#447961arXiv CS