IEEE

Large Language Models for Link Stealing Attacks Against Graph Neural Networks

Abstract: Graph data contains rich node features and unique edge information, which have been applied across various domains, such as citation networks or recommendation systems. Graph Neural Networks ...
IEEE

Enhancing Protein Function Prediction Through the Fusion of Multi-Type Biological Knowledge With Protein Language Model and Graph Neural Network

Abstract: Proteins play crucial roles in diverse biological functions. Accurately annotating their functions is essential for understanding cellular mechanisms and developing therapies for complex ...
GitHub

Graph RAG and Hybrid RAG Workshop

The dataset used in this workshop is the BlackRock founders dataset, which are three small text files containing information about the founders of the asset management firm BlackRock. The aim of the ...
GitHub

Code: Dynamics-Informed Reservoir Computing with Visibility Graphs

This program is free software: you can redistribute it and/or modify it under the terms of the GNU Lesser General Public License as published by the Free Software Foundation, either version 3 of the ...