Explore 20 essential activation functions implemented in Python for deep neural networks—including ELU, ReLU, Leaky ReLU, ...

GraphSense API provides programmatic access to various ledgers' addresses, entities, blocks, transactions and tags for automated and highly efficient forensics tasks ...

Abstract: Graph matching over two given graphs is a well-established method for re-identifying obscured node labels within an anonymous graph by matching the corresponding nodes in a reference graph.

Meet Graphiti: a Python library for building temporal Knowledge Graphs. Graphiti is designed specifically to manage evolving relationships over time by capturing and recording changes in facts and ...

It aims to enable python developers to easily deploy functions that can be queried in a federated fashion using SPARQL. For example: using a python function to resolve labels for specific identifiers, ...