This repository provides code to replicate the experiments conducted in the research paper [Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings].
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Updated
Nov 10, 2023 - Jupyter Notebook
This repository provides code to replicate the experiments conducted in the research paper [Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings].
Experiments on Knowledge Graph Embeddings models for link prediction and deletion
Code and data accompanying the paper: "Model-Agnostic Bias Measurement in Link Prediction" published in the EACL Findings 2023
Code for https://arxiv.org/abs/1907.03143
Pipeline for Knowledge Graph Embedding and Embedding Classification
Halal or Not is a novel Attributed Knowledge Graph Completion Model developed by NS Lab @ CUK based on pure PyTorch backend. This model aims at analyzing ingredients of everyday products to predict their cultural availability, e.g. predicting whether food or cosmetics meet halal or vegan criteria.
a kg embedding repo!
The first knowledge graph embedding benchmark allowing the comprehensive evaluation of inductive knowledge graph embedding techniques. It represents an evolving knowledge graph and is extracted from the Wikidata knowledge base.
We extend the idea of reducing false negatives by adopting a Tucker decomposition representation to enhance the semantic soundness of latent relations among entities by introducing a relation feature space.
我们的论文“基于知识图谱嵌入的阿尔茨海默病药物重定位研究”的代码。
LD Connect: A Linked Data Portal for IOS Press Scientometrics
A Scholarly Knowledge Graph Benchmark Dataset
Unsupervised, geometry-based taxonomy learning for knowledge graphs
Uncertain Knowledge Graphs Embedding with BERT Pretrained Language Model
LiteralKG is a novel Attributed Knowledge Graph Embedding Model developed by NS Lab @ CUK based on pure PyTorch backend.
An implementation of the inductive knowledge graph embedding technique Parallel Universe TransE (puTransE) built upon the OpenKE framework.
High-performance implementations of W2V, DistMult, CP, SimplE, ComplEx, RotatE, Quaternion, and MEI. Paper: Multi-Partition Embedding Interaction with Block Term Format for Knowledge Graph Completion (ECAI 2020).
Knowledge Graph Embedding with interactive live visualization.
Some papers on knowledge graph embedding
Source code for the paper "Demographic Aware Probabilistic Medical Knowledge Graph Embeddings of Electronic Medical Records"
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