Understanding the Balance between Internal Knowledge and External Sources Author Qingqin Fang ( ORCID: 0009–0003–5348–4264) Introduction Previous research often emphasized the limitations of LLM’s information acquisition pathways, focusing on enhancing its capabilities in this regard.
Neo4j APOC Library Use Case Author Wenyi Pi ( ORCID: 0009–0002–2884–277) Introduction In the realm of Neo4j, the APOC (Awesome Procedures on Cypher) library stands as a powerful tool. Previously, We have talked about the importance of APOC in optimising Cypher queries and improving query efficiency in our article Exploring Methods of Cypher Query Optimisations.
Techniques to integrate Knowledge Graphs into Language Models Author Amanda Kau (ORCID: 0009–0004–4949–9284 ) Introduction Both knowledge graphs (KGs) and pre-trained language models (PLMs) have gained popularity due to their ability to comprehend world knowledge and their broad applicability.
Integrating temporal data into static knowledge graphs Author Amanda Kau (ORCID: 0009–0004–4949–9284 ) Introduction Knowledge graphs (KGs) have proven to be an effective method of data representation that is increasingly popular. In KGs, entities and concepts are represented as nodes, while the relationships between nodes are depicted as edges.
Dear rOpenSci friends, it’s time for our monthly news roundup! You can read this post on our blog.Now let’s dive into the activity at and around rOpenSci!rOpenSci HQ Coworking Read all about coworking! Join us for social coworking & office hours monthly on first Tuesdays!Hosted by Steffi LaZerte and various community hosts.Everyone welcome.No RSVP needed.Consult our Events page to find your local time and how to join.
I’ve been down this road before, e.g. BHL, DjVu, and reading the f*cking manual and Demo of full-text indexing of BHL using CouchDB hosted by Cloudant, but I’m revisiting converting BHL page scans to black and white images, partly to clean them up, to make them closer to what a modern reader might expect, and partly to reduce the size of the image. The latter means faster loading times and smaller PDFs for articles.
The goal of the rOpenSci Champions Program is to enable more members of historically excluded groups to participate in, benefit from, and become leaders in the R, research software engineering, and open source and open science communities. This program includes 1-on-1 mentoring for the Champions as they complete a project and perform outreach activities in their local communities.
Subscribe Now: Apple, Spotify, YouTube, RSS Giulia Crocioni joins Arfon and Abby to discuss DeepRank2, a deep learning framework for 3D protein structure predictions. Giulia is a Research Software Engineer at the Netherlands eScience Center where she uses different machine learning techniques to develop and contribute to methodologies and applications to answer life sciences research questions.
Author Amir Aryani: (ORCID: 0000-0002-4259-9774) Definition A research collaboration network is a group of researchers, and practitioners, or both, working together on joint research activities. These networks often span across disciplines, geographic boundaries, and sectors, enabling participants to share resources, expertise, and data to address common research goals more effectively than they could individually.
We are excited to announce that R-Universe has been awarded a Google Season of Docs grant. R-Universe is rOpenSci’s platform for testing, building, distributing, and discovering R packages, led by Jeroen Ooms.