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20192022
most citedPoisoning Knowledge Graph Embeddings via Relation Inference Patterns

16 citations · 23 across the 9 of their papers we have counts for

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cs.LG2021★ 16 cited

Poisoning Knowledge Graph Embeddings via Relation Inference Patterns

Peru Bhardwaj, John Kelleher, Luca Costabello +1

We study the problem of generating data poisoning attacks against Knowledge Graph Embedding (KGE) models for the task of link prediction in knowledge graphs. To poison KGE models,…

cs.LG2021

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods

Peru Bhardwaj, John Kelleher, Luca Costabello +1

Despite the widespread use of Knowledge Graph Embeddings (KGE), little is known about the security vulnerabilities that might disrupt their intended behaviour. We study data poison…

cs.DB2021

Automated Climate Analyses Using Knowledge Graph

Jiantao Wu, Huan Chen, Fabrizio Orlandi +3

The FAIR (Findable, Accessible, Interoperable, Reusable) data principles are fundamental for climate researchers and all stakeholders in the current digital ecosystem. In this pape…

cs.DB2021

An Interoperable Open Data Portal for Climate Analysis

Jiantao Wu, Huan Chen, Fabrizio Orlandi +3

This work proposes an open interoperable data portal that offers access to a Web-wide climate domain knowledge graph created for Ireland and England's NOAA climate daily data. Ther…

cs.DB2021

Ontology Modeling for Decentralized Household Energy Systems

Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif +2

In a decentralized household energy system consisting of various devices such as washing machines, heat pumps, and solar panels, understanding the electric energy consumption and p…

cs.DB2021★ 1 cited

An Ontology Model for Climatic Data Analysis

Jiantao Wu, Fabrizio Orlandi, Declan O'Sullivan +1

Recently ontologies have been exploited in a wide range of research areas for data modeling and data management. They greatly assists in defining the semantic model of the underlyi…