Opinionated Python bindings for the tree-sitter-stack-graphs rust library. It exposes a minimal, opinionated API to leverage the stack-graphs library for reference resolution in source code. The rust ...

—you’re not alone. This issue occurs when Windows can’t locate Python’s executable in your system’s PATH. Luckily, there are several simple ways to fix it, so you can run Python and pip from any ...

Abstract: Graph Neural Networks (GNNs) have recently achieved remarkable success in various learning tasks involving graph-structured data. However, their application to multi-relational graph anomaly ...

Cyber threats are growing more sophisticated, and traditional security approaches struggle to keep up. Organizations can no longer rely on periodic assessments or static vulnerability lists to stay ...

Abstract: R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity.

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

ABSTRACT: Graph burning is a model for describing the spread of influence in social networks and the generalized burning number b r ( G ) of graph G is a parameter to measure the speed of information ...

ABSTRACT: In 2012, Ponraj et al. defined a concept of k-product cordial labeling as follows: Let f be a map from V( G ) to { 0,1,⋯,k−1 } where k is an integer, 1≤k≤| V( G ) | . For each edge uv assign ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...

The challenge of managing and recalling facts from complex, evolving conversations is a key problem for many AI-driven applications. As information grows and changes over time, maintaining accurate ...