A cross-situational word learning framework
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Updated
Nov 30, 2017 - Scilab
A cross-situational word learning framework
A sophisticated semantic network system capable of encoding inference rules within the network itself. Built for efficient memory usage and powerful logical reasoning, zelph can process the entire Wikidata knowledge graph (1.7TB) to detect contradictions and make logical deductions.
SemaWal: A semantic network resolver in python
Principles Of AI Lab Exercises
Official Implementation of Link Prediction via Node Feature Initialization with LLMs (COLING: Industry Track 2025)
Simple Knowledge base represented as Semantic network , with Prolog language.
[CIKM 2024] A Learning-path based Supervised Method for Concept Prerequisite Relations Extraction in Educational Data
Categorical hypergraph rewriting kernel — semantic functorial network over distributed compute. Go, stdlib-first.
Bipartite channel-concept analysis of Belarusian pro-government Telegram channels — companion to Sulzhytski & Kulhayeva (Intersections EEJSP 2025).
Interactive semantic network visualization of Biblical concepts
MSAGL2 is a Windows Forms application that displays Semantic Networks. It makes use of the 'MSAGL' library. This project is used in the 'Dynamic-Scene-creation-using-Semantic-Networks' repository; Semantic Networks are displayed through this project. https://github.com/gercol01/Dynamic-Scene-creation-using-Semantic-Networks
ConceptNet 🚀🚀 is a powerful semantic network that represents general knowledge in a machine-readable format.
A topic generator with sentiment score built on the semantic network
Reproducible Python project visualizing and animating the evolution of Metaverse research from 2007 to 2020.
Implementation of Semantics-Native Communication via Contextual Reasoning
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