Benchmarking neural embeddings for link prediction in knowledge graphs under semantic and structural changes

05/15/2020
by   Asan Agibetov, et al.
MedUni Wien
0

Recently, link prediction algorithms based on neural embeddings have gained tremendous popularity in the Semantic Web community, and are extensively used for knowledge graph completion. While algorithmic advances have strongly focused on efficient ways of learning embeddings, fewer attention has been drawn to the different ways their performance and robustness can be evaluated. In this work we propose an open-source evaluation pipeline, which benchmarks the accuracy of neural embeddings in situations where knowledge graphs may experience semantic and structural changes. We define relation-centric connectivity measures that allow us to connect the link prediction capacity to the structure of the knowledge graph. Such an evaluation pipeline is especially important to simulate the accuracy of embeddings for knowledge graphs that are expected to be frequently updated.

READ FULL TEXT
07/27/2018

Global and local evaluation of link prediction tasks with neural embeddings

We focus our attention on the link prediction problem for knowledge grap...
02/13/2018

SimplE Embedding for Link Prediction in Knowledge Graphs

The aim of knowledge graphs is to gather knowledge about the world and p...
06/24/2021

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types

Open Knowledge Graphs (OpenKG) refer to a set of (head noun phrase, rela...
07/05/2017

Complex and Holographic Embeddings of Knowledge Graphs: A Comparison

Embeddings of knowledge graphs have received significant attention due t...
06/29/2020

Adversarial Learning for Debiasing Knowledge Graph Embeddings

Knowledge Graphs (KG) are gaining increasing attention in both academia ...
06/30/2020

Mobile Link Prediction: Automated Creation and Crowd-sourced Validation of Knowledge Graphs

Building trustworthy knowledge graphs for cyber-physical social systems ...
07/31/2023

Towards Semantically Enriched Embeddings for Knowledge Graph Completion

Embedding based Knowledge Graph (KG) Completion has gained much attentio...

Please sign up or login with your details

Forgot password? Click here to reset