Project - Biomedical entity relation network with PubMed papers
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Updated
Mar 15, 2022 - Python
Project - Biomedical entity relation network with PubMed papers
Source code for the paper "VOGUE: Answer Verbalization through Multi Task Learning"
🪑 Benchmark the bloom filterer at https://pykeen.github.io/bloom-filterer-benchmark/
An experimental library for implementing knowledge graph embedding models using `elixir`
🌐 The website for PyKEEN and the KEEN universe at https://pykeen.github.io
API and backend for the Relfinder tool for visualising and exploring paths between entities in an RDF knowledge graph
Hybrid AI (HyAI) framework
Examining the Adoption of Knowledge Graphs in the Manufacturing Industry: A Comprehensive Review
Transform OCL to SHACL and ShEx
Fall 2022 Bioengineering 298 Final Project: using protein networks to understand drug and disease mechanisms
Knowledge Graph Enrichment with Symbolic LEarning
This research project is focused on creating an efficient solution for identifying rules which entail certain target facts given a set of rules and a knowledge graph using relational database technologies.
A code base for Automated Relational Feature Engineering
Information extracting rule-based Text classifier and Name Entity Recognition to draw relations among entities
Examples and exercise for the book "Web Data APIs for Knowledge Graphs"
📚 Code for my master's thesis "Investigating Knowledge Injection Approaches for Research Field Classification of Scholarly Articles".
Rematch: Robust and Efficient Matching of Local Knowledge Graphs for Improved Structural and Semantic Similarity
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