graph-neural-networks

Documents about graph-neural-networks

• When Vision Meets Graphs: A Survey on Graph Reasoning and Learning#639690arXiv CS
• Physics-Aware Random Walk Fingerprints for Scalable Power Grid Graph Classification#660833arXiv CS
• Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks#664108arXiv (OAI Expanded)
• Multivariate Time Series Forecasting with Hybrid Euclidean-SPD Manifold Graph Neural Networks#665608arXiv (All)
• Graph Neural Team Recommendation: An Integrated Approach#822070arXiv (All)
• Not Just Oversmoothing: Detecting the Echo Chamber Effect in Graph Neural Networks#974090arXiv (All)
• SCGFM-ART: Amortized Relational Transport for Structure-Centric Graph Foundation Models#978446arXiv CS
• Temporal Generalization and Explanation Stability of Control Flow Graph Neural Networks for Malware Detection#1028595arXiv CS
• Modeling chlorine dynamics in water distribution networks#297846Repositorio institucional Séneca
• Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment#240608Repositorio Institucional de la PUCP
• Selecting Graph Representations for Cross-Language Program Recognition#284289HAL (France)
• When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift#123977arXiv CS
• When the Tool Decides: LLM Agents Defer Blindly to Graph Neural Network Tools, and Stronger Backbones Defer More#271852arXiv CS
• SatQNet: Satellite-assisted Quantum Network Entanglement Routing Using Directed Line Graph Neural Networks#5922arXiv CS
• Graph Neural Networks Model Based on Atomic Hybridization for Predicting Drug Targets.#14959NCBI PubMed Central
• Deep reinforcement learning meets graph neural networks: Exploring a routing optimization use case#19743Semantic Scholar
• A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions#19784Semantic Scholar
• Computational nanobody design using graph neural networks and Metropolis Monte Carlo sampling.#125360NCBI PubMed Central
• XGRAG: A Graph-Native Framework for Explaining KG-based Retrieval-Augmented Generation#138924arXiv CS
• Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks#192406arXiv CS
• CAMERA: Adapting to Semantic Camouflage in Unsupervised Text-Attributed Graph Fraud Detection#204790arXiv CS
• Graph Structured Combinatorial Semi-Bandit with Nonlinear Reward Associations through Separable Signals#271827arXiv CS
• AGDN: Learning to Solve Traveling Salesman Problem with Anisotropic Graph Diffusion Network#287135arXiv CS
• Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection#319677arXiv CS
• Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination#329107arXiv CS
• RAG-GNN: retrieval-augmented graph neural networks for protein interaction network embeddings.#402740NCBI PubMed Central
• Optimization of water-saving irrigation decision using dynamic spatiotemporal graph neural networks.#440959NCBI PubMed Central
• Uncertainty Quantification of Sparse Trip Demand Prediction with Spatial-Temporal Graph Neural Networks#445903MIT Open Scholarship
• Faithful, Sufficient and Understandable: Rethinking Graph Counterfactual Explanations via Discrete Diffusion Inversion#447940arXiv CS
• Graph-Based Approaches to Learning Epileptogenic Zone Localization Using Stereo-EEG Recordings#467141arXiv CS
• Reward-Guided Autoregressive Graph Generation for Efficient Multi-Agent Communication Topology Design#471240arXiv CS
• Characterising cardiac tissue properties with graph neural networks#616476arXiv (OAI Expanded)
• Characterising cardiac tissue properties with graph neural networks#616976arXiv (All)
• Decadal wave reconstruction in the Mediterranean Sea with graph neural networks#619159arXiv (OAI Expanded)
• Decadal wave reconstruction in the Mediterranean Sea with graph neural networks#620838arXiv (All)
• RINSE: Robust Target-Time Normality Estimation for Zero-Shot Graph Anomaly Detection#632860arXiv CS
• FluxDisco: Symbolic Regression for Stoichiometric Dynamical Systems via Monte Carlo Graph Search#660814arXiv CS
• GENIE: Watermarking Graph Neural Networks for Link Prediction#820147arXiv (All)
• Reducing model bias in a deep learning classifier using domain adversarial neural networks in the MINERvA experiment#316464Repositorio Institucional de la PUCP
• Finding the Law: Enhancing Statutory Article Retrieval via Graph Neural Networks#679152OpenAlex
• Histology-informed spatial domain identification through multi-view graph convolutional networks#248074PLOS
• Learning How Much to Think: Difficulty-Aware Dynamic MoEs for Graph Node Classification#10370arXiv CS
• Unveiling the potential of Graph Neural Networks for network modeling and optimization in SDN#19757Semantic Scholar
• Operational Feature Fingerprints of Graph Datasets via a White-Box Signal-Subspace Probe#134535arXiv CS
• Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems#153106arXiv (OAI)
• A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification#155269arXiv CS
• Graph Convolutional Support Vector Regression for Robust Spatiotemporal Forecasting of Urban Air Pollution#155299arXiv CS
• Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs#177024arXiv (OAI)
• Graph-based Complexity Forecasts in UK En Route Airspace Using Relevant Aircraft Interactions#222595arXiv CS
• Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning#259475arXiv CS