IEEE

Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network

Abstract: Federated graph attention networks (FGATs) are gaining prominence for enabling collaborative and privacy-preserving graph model training. The attention mechanisms in FGATs enhance the focus ...
IEEE

A Replication Package for PyCG: Practical Call Graph Generation in Python

Abstract: The ICSE 2021 paper titled “PyCG: Practical Call Graph Generation in Python” comes with a replication package with the purpose of providing open access to (1) our prototype call graph ...
GitHub

GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks

Pre-training Graph Model Phase. In the pre-training phase, we employ link prediction as the self-supervised task for pre-training the graph model. Producer Phase. In the Producer phase, we employ LLM ...
GitHub

Graph-based live audio manipulation engine implemented in Python

Synchrotron has been designed from the ground up with maximum flexibility and interoperability in mind, and as such, there are many ways to use Synchrotron and interact with the server. This includes ...