activity
20182026
most citedPyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

89 citations · 334 across the 25 of their papers we have counts for

collaborators
Showing 2019Show all

10 papers · 1 filter

cs.CL2019

Open-domain Event Extraction and Embedding for Natural Gas Market Prediction

Minh Triet Chau, Diego Esteves, Jens Lehmann

We propose an approach to predict the natural gas price in several days using historical price data and events extracted from news headlines. Most previous methods treats price as…

cs.CL2019

Encoding Knowledge Graph Entity Aliases in Attentive Neural Network for Wikidata Entity Linking

Isaiah Onando Mulang, Kuldeep Singh, Akhilesh Vyas +4

The collaborative knowledge graphs such as Wikidata excessively rely on the crowd to author the information. Since the crowd is not bound to a standard protocol for assigning entit…

cs.DB2019

Directly Mapping RDF Databases to Property Graph Databases

Renzo Angles, Harsh Thakkar, Dominik Tomaszuk

RDF triplestores and property graph databases are two approaches for data management which are based on modeling, storing, and querying graph-like data. In spite of such common pri…

cs.LG2019

Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition

Chengjin Xu, Mojtaba Nayyeri, Fouad Alkhoury +2

Knowledge Graph (KG) embedding has attracted more attention in recent years. Most KG embedding models learn from time-unaware triples. However, the inclusion of temporal informatio…

cs.AI2019★ 2 cited

Toward Understanding The Effect Of Loss function On Then Performance Of Knowledge Graph Embedding

Mojtaba Nayyeri, Chengjin Xu, Yadollah Yaghoobzadeh +2

Knowledge graphs (KGs) represent world's facts in structured forms. KG completion exploits the existing facts in a KG to discover new ones. Translation-based embedding model (Trans…

cs.LG2019

Distantly Supervised Question Parsing

Hamid Zafar, Maryam Tavakol, Jens Lehmann

The emergence of structured databases for Question Answering (QA) systems has led to developing methods, in which the problem of learning the correct answer efficiently is based on…