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Found 5 papers, 2 papers with code
TWIG: Towards pre-hoc Hyperparameter Optimisation and Cross-Graph Generalisation via Simulated KGE Models
Our experiments on the UMLS dataset show that a single TWIG neural network can predict the results of state-of-the-art ComplEx-N3 KGE model nearly exactly on across all hyperparameter configurations.
A semantic web approach to uplift decentralized household energy data
In a decentralized household energy system comprised of various devices such as home appliances, electric vehicles, and solar panels, end-users are able to dig deeper into the system's details and further achieve energy sustainability if they are presented with data on the electric energy consumption and production at the granularity of the device.
Poisoning Knowledge Graph Embeddings via Relation Inference Patterns
We study the problem of generating data poisoning attacks against Knowledge Graph Embedding (KGE) models for the task of link prediction in knowledge graphs.
Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods
These attacks craft adversarial additions or deletions at training time to cause model failure at test time.
Using Mapping Languages for Building Legal Knowledge Graphs from XML Files
This paper presents our experience on building RDF knowledge graphs for an industrial use case in the legal domain.
