This repository contains a pipeline for processing function call graphs (FCGs), training a Word2Vec model, preprocessing graphs, and training a Graph Convolutional Network (GCN) with attention. The ...

Vector similarity searching is a technique used to find and retrieve data points that are similar to a given query, based on their vector representations. The similarity between two vectors is usually ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Graph database vendor Neo4j announced today new capabilities for vector ...

Abstract: Kernel methods are among the most popular techniques in machine learning. From a regularization theory perspective, they provide a natural choice for the hypotheses space and the ...

The new innovations for the database service should help developers build and scale AI apps. The features provide apps with accurate and relevant information. Spanner is Google Cloud’s distributed SQL ...

Abstract: Graphs classification is a relevant problem that arises in many disciplines. Using graphs directly instead of vectorization allows exploiting the intrinsic representations of the data.