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Graphene Revolution: How This Nanomaterial Is Transforming Cars, Roads, and Ships

Explore the groundbreaking uses of graphene—a revolutionary nanomaterial setting new standards for strength and lightweight performance. This video delves into how industries such as automotive, ...
IEEE

LogGraph: Log Event Graph Learning Aided Robust Fine-Grained Anomaly Diagnosis

Abstract: Anomaly diagnosis relying on system logs to record runtime events is essential for improving the service quality of distributed systems and reducing economic losses. However, most existing ...
IEEE

Enhancing Log Anomaly Detection through Knowledge Graph Integration

Abstract: Anomalies of software systems cause inconvenience for users and further lead to significant financial losses for service providers. Detecting such anomalies is therefore crucial. While ...
GitHub

KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion

Original implementation for KRACL framework proposed by paper KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion. Knowledge Graph Embeddings (KGE) aim to map ...
GitHub

Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs

For the Los Angeles metr-la and Santa Clara pems-bay datasets cite: Kwak, Semin. (2020). PEMS-BAY and METR-LA in csv [Data set]. Zenodo. https://doi.org/10.5281 ...