Towards Semantically Enriched Embeddings for Knowledge Graph Completion

no code implementations • 31 Jul 2023 • Mehwish Alam, Frank van Harmelen, Maribel Acosta

Most of the current algorithms consider a KG as a multidirectional labeled graph and lack the ability to capture the semantics underlying the schematic information.

Inductive Link Prediction Knowledge Graph Completion +1

Cardinality Estimation over Knowledge Graphs with Embeddings and Graph Neural Networks

1 code implementation • 2 Mar 2023 • Tim Schwabe, Maribel Acosta

Cardinality Estimation over Knowledge Graphs (KG) is crucial for query optimization, yet remains a challenging task due to the semi-structured nature and complex correlations of typical Knowledge Graphs.

Knowledge Graph Embeddings Knowledge Graphs

On the Applicability of Synthetic Data for Re-Identification

1 code implementation • 20 Dec 2022 • Jérôme Rutinowski, Bhargav Vankayalapati, Nils Schwenzfeier, Maribel Acosta, Christopher Reining

The quality of the generated images was gauged using a perspective classifier that was trained on the original images and then applied to the synthetic ones, comparing the accuracy between the two sets of images.

Data Augmentation

TokTrack: A Complete Token Provenance and Change Tracking Dataset for the English Wikipedia

no code implementations • 23 Mar 2017 • Fabian Flöck, Kenan Erdogan, Maribel Acosta

We present a dataset that contains every instance of all tokens (~ words) ever written in undeleted, non-redirect English Wikipedia articles until October 2016, in total 13, 545, 349, 787 instances.