The quantum approximate optimization algorithm (QAOA) holds promise for combinatorial optimization but is constrained by limited qubits. While divide-and-conquer frameworks like QAOA 2 address ...

Protein complexes play a crucial role in cellular biological processes. Identifying these complexes is essential for understanding cellular functions and biological mechanisms. Graph clustering ...

In this tutorial, we implement Tree-KG, an advanced hierarchical knowledge graph system that goes beyond traditional retrieval-augmented generation by combining semantic embeddings with explicit graph ...

Document-level Event Factuality Identification (DEFI) has always been the focus of Information Extraction and Information Credibility. This paper studies a novel task named Evidential Document-level ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

In this tutorial, we guide you through the development of an advanced Graph Agent framework, powered by the Google Gemini API. Our goal is to build intelligent, multi-step agents that execute tasks ...

ABSTRACT: Backgrounds: The impact of digital image steganography (stego) and crypto-steganography (crypto-stego) on network performance has not been adequately examined. The major objective of this ...

This test was disabled because it is failing in CI. See recent examples and the most recent trunk workflow logs. Over the past 6 hours, it has been determined flaky in 25 workflow(s) with 50 failures ...

Abstract: This work introduces FPGA-Par, an efficient graph partitioning algorithm for multi-FPGA systems. FPGA-Par utilizes an iterative balanced partitioning and supernodes transferring algorithm ...