research
∙
05/15/2023
A Knowledge Graph Perspective on Supply Chain Resilience
Global crises and regulatory developments require increased supply chain...
share
research
∙
08/04/2022
Neuro-symbolic computing with spiking neural networks
Knowledge graphs are an expressive and widely used data structure due to...
research
∙
06/03/2022
On Calibration of Graph Neural Networks for Node Classification
Graphs can model real-world, complex systems by representing entities an...
research
∙
12/15/2021
TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs
Conventional static knowledge graphs model entities in relational data a...
research
∙
09/21/2021
Learning through structure: towards deep neuromorphic knowledge graph embeddings
Computing latent representations for graph-structured data is an ubiquit...
research
∙
09/08/2021
Power to the Relational Inductive Bias: Graph Neural Networks in Electrical Power Grids
The application of graph neural networks (GNNs) to the domain of electri...
research
∙
07/13/2021
Graphhopper: Multi-Hop Scene Graph Reasoning for Visual Question Answering
Visual Question Answering (VQA) is concerned with answering free-form qu...
research
∙
03/18/2021
Neural Multi-Hop Reasoning With Logical Rules on Biomedical Knowledge Graphs
Biomedical knowledge graphs permit an integrative computational approach...
research
∙
07/10/2020
Integrating Logical Rules Into Neural Multi-Hop Reasoning for Drug Repurposing
The graph structure of biomedical data differs from those in typical kno...
research
∙
07/02/2020
Scene Graph Reasoning for Visual Question Answering
Visual question answering is concerned with answering free-form question...
research
∙
01/09/2020
Debate Dynamics for Human-comprehensible Fact-checking on Knowledge Graphs
We propose a novel method for fact-checking on knowledge graphs based on...
research
∙
01/02/2020
