"Concurrent DEPQs: A New Methodology for Distributed Computing"

Publication Alert and 50 free copies! This paper introduces TransitTalk, a retrieval-augmented framework that positions an LLM as an intelligent intermediary between natural-language requests and the heterogeneous databases that underpin modern transit networks. The paper demonstrates the application of the framework through three prototypes: Tweet Writer, Trip Advisor and Policy Navigator. https://lnkd.in/gZ2H3BgX

🚀 How to Scale GraphRAG to Millions of Documents? 🧩 Traditional Graph-RAG approaches extract triples (subject, predicate, object) from documents, often via LLMs, to enable multi-hop reasoning over knowledge graphs. But this offline triple extraction step doesn’t scale well to web-scale corpora. 📘 A new paper by Huawei and The University of Edinburgh, “Millions of GeAR-s: Extending GraphRAG to Millions of Documents”, proposes an elegant alternative: 🔹 Pseudo-alignment instead of extraction Rather than generating new triples, the system performs an online pseudo-alignment between retrieved text chunks and existing Wikidata triples using a combination of dense and sparse retrieval. 🔹 Graph-guided multi-agent reasoning A multi-step (agentic) process decomposes complex queries into simpler sub-questions, traverses the KG to expand reasoning chains, and filters irrelevant passages before generating the final answer. 🔹 Scalable architecture By leveraging external KGs like Wikidata and avoiding heavy LLM extraction, the system scales to millions of passages while retaining graph-enhanced reasoning ability. The paper is available here: https://lnkd.in/enwgWDte

Check this newly published article "Identifying Vital Nodes by Local g-Core on Symmetric Networks" at https://brnw.ch/21wWt9x Authors: Letian Wang The H-index is a widely recognized centrality measure for nodes in symmetric networks, defined as the maximum number of neighbors with degrees equal to or greater than the node’s own degree. However, this metric underestimates the structural influence of “weak nodes”—low-degree nodes connected to high-degree hubs—that often serve as critical connectors in network topology. To address this limitation, we propose the 𝐻𝛼-index, which generalizes the H-index by considering the maximum number of neighbors with degrees at least 𝛼 times the node’s degree, where 𝛼≥1. Based on this refinement, we introduce two novel centrality measures: the g-core and the local g-core, which were derived from iterative applications of the 𝐻𝛼-index to a node’s neighbors... 山东大学 #mdpisymmetry #complexnetworks

👀 Revisit the #ELIXIR_STEERS policy brief "Strategies for Enhancing the Credit and Recognition of Research Artefacts" 🙌 The policy brief outlined recommendations to enhance the credit and recognition of non-traditional #ResearchArtefacts within European research assessment systems. These artefacts 🔬, such as curated datasets, research software, workflows and training materials, are often overlooked in traditional evaluation frameworks and yet are key to modern, collaborative 🤝 and reproducible science. Read the policy brief: https://loom.ly/V65eLv4

"Legacy data storage devices like floppy disks therefore present serious complications for archivists. "If you've got a book, it doesn't matter how old it is – you can still read it," Talboom says (provided you understand the language it is written in, of course). With floppy disks, however, you need specialised equipment just to access the content itself – it is like requiring a key to open a book. Even then you might not be able to read what is inside. " https://lnkd.in/dMAfTHxQ

Exploring Low-Code Development: A Comprehensive Literature Review Kārlis Roķis, Marite Kirikova Cite as: Rokis, K., & Kirikova, M. (2023). Exploring Low-Code Development: A Comprehensive Literature Review. Complex Systems Informatics and Modeling Quarterly, 36, 68-86. https://lnkd.in/dqszbMpi #LowCodeDevelopment, #LowCodePlatforms, #LowCodeBenefits, #LowCodePrinciples, #SoftwareDevelopment #LCNC https://lnkd.in/duTZ-Dga

LLMs keep forgetting your research. Here's the fix... Stop re-researching the same topics over and over. With Needle: > Claude finds sources once > You save them to a collection > Claude queries them instantly forever - No token waste. - No repetitive searches. > Just permanent knowledge. Build your knowledge library: https://lnkd.in/ewjtk4Yb

🚀 New Publication in IEEE Access! Excited to share our latest article: “Use-case-centric and Industry-agnostic Architectural Patterns for Fog Systems” Fog computing is becoming a key intermediary in the cloud-to-edge continuum. However, developing effective architectures remains challenging due to the technology's novelty. Our paper introduces industry-agnostic architectural patterns that help system architects systematically design fog systems aligned with their specific goals. 🔍 What we did: - Reviewed 150+ papers and interviewed 8 industry experts - Identified core fog tasks, system roles, and architectural design patterns - Developed a framework to translate fog use case characteristics into practical system designs 🧠 A step toward making fog computing more accessible, structured, and applicable across industries. Read the full article on IEEE Xplore (Open-Access): https://lnkd.in/emB6-8hA #FogComputing #EdgeComputing #CloudComputing #Architecture #DigitalTransformation #InternetOfThings

10 Days to Understand XRD Graphs and Data — Let’s Learn Together! 💪 Many researchers struggle to interpret XRD patterns — those sharp peaks, strange angles, and endless phase names can be confusing at first. But once you understand the basics, every graph starts telling a clear story about your material. Here’s a simple 10-day roadmap we can follow together: 📅 Day 1–2: Basics of XRD — principle, Bragg’s law, and setup 📅 Day 3–4: Identifying peaks, Miller indices, and structures 📅 Day 5–6: Phase identification using databases (ICDD, COD) 📅 Day 7–8: Calculating crystallite size, strain, and lattice parameters 📅 Day 9–10: Real data interpretation and practice with research papers Whether you’re new to XRD or want to sharpen your skills, join the challenge and let’s make these 10 days count! #XRD #MaterialsScience #ResearchCommunity #Nanomaterials #ScientificLearning