About LogLLM: Log-based Anomaly Detection Using Large Language Models (system log anomaly detection) system-security anomaly-detection system-logs large-language-models llm supervised-finetuning ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. Working with directed graphs? Consider using DIRECTO, a discrete flow matching framework for directed graph ...

Here, we define a requirement for neural activity in mobilizing the antioxidant defenses of the nematode Caenorhabditis elegans both during chronic oxidative stress and prior to its onset. We show ...

Many modern parallel systems, such as MapReduce, Hadoop and Spark, can be modeled well by the MPC model. The MPC model captures well coarse-grained computation on large data — data is distributed to ...

As we know, power flow calculation is fundamental to power systems. Currently, the mainstream power flow algorithms utilize programming for power flow calculations. However, when faced with line ...