Accurate lithofacies identification in carbonate reservoirs is essential for reservoir characterization and development decision-making. However, the strong heterogeneity of carbonate rocks, nonlinear responses of well logging parameters, and imbalance among lithofacies samples s…
While Large Language Models have greatly advanced automated issue resolution, existing agent-based methods exhibit a fundamental limitation in their insufficient exploration of repair strategies. This insufficiency manifests in two key aspects. First, the exploration of multiple…
Temporal Graph Neural Networks (TGNNs) are widely used for learning from dynamic graphs in applications such as recommendation, social network analysis, and traffic forecasting. However, scaling TGNN training to large dynamic graphs remains challenging due to three intertwined bo…