DeepAI AI Chat
Log In Sign Up

Improving Inductive Link Prediction Using Hyper-Relational Facts

07/10/2021
by   Mehdi Ali, et al.
0

For many years, link prediction on knowledge graphs (KGs) has been a purely transductive task, not allowing for reasoning on unseen entities. Recently, increasing efforts are put into exploring semi- and fully inductive scenarios, enabling inference over unseen and emerging entities. Still, all these approaches only consider triple-based kg, whereas their richer counterparts, hyper-relational KGs (e.g., Wikidata), have not yet been properly studied. In this work, we classify different inductive settings and study the benefits of employing hyper-relational KGs on a wide range of semi- and fully inductive link prediction tasks powered by recent advancements in graph neural networks. Our experiments on a novel set of benchmarks show that qualifiers over typed edges can lead to performance improvements of 6 (for the Hits@10 metric) compared to triple-only baselines. Our code is available at <https://github.com/mali-git/hyper_relational_ilp>.

READ FULL TEXT

page 1

page 2

page 3

page 4

10/13/2022

Inductive Logical Query Answering in Knowledge Graphs

Formulating and answering logical queries is a standard communication in...
09/03/2022

Disconnected Emerging Knowledge Graph Oriented Inductive Link Prediction

Inductive link prediction (ILP) is to predict links for unseen entities ...
07/18/2022

DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing

In the field of representation learning on knowledge graphs (KGs), a hyp...
04/20/2021

HYPER^2: Hyperbolic Poincare Embedding for Hyper-Relational Link Prediction

Link Prediction, addressing the issue of completing KGs with missing fac...
04/01/2023

Inductive Relation Prediction from Relational Paths and Context with Hierarchical Transformers

Relation prediction on knowledge graphs (KGs) is a key research topic. D...
09/22/2020

Message Passing for Hyper-Relational Knowledge Graphs

Hyper-relational knowledge graphs (KGs) (e.g., Wikidata) enable associat...
06/18/2023

Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking

Link prediction attempts to predict whether an unseen edge exists based ...