From the 1 of 412 papers with an AI index.
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- Max Planck Institute for the Science of LightDE13 papers
- University of ArizonaUS12 papers
- Beijing Institute of TechnologyCN11 papers
- TU Dortmund UniversityDE11 papers
- Ruhr University BochumDE10 papers
- Leipzig UniversityDE9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Technical University of MunichDE8 papers
- Complexity and Topology in Quantum MatterDE7 papers
- Institute of PhysicsPL7 papers
- University of WürzburgDE7 papers
- Forschungszentrum JülichDE6 papers
12 papers · 1 filter
TS-Arena -- A Live Forecast Pre-Registration Platform
Marcel Meyer, Sascha Kaltenpoth, Henrik Albers +2
Time Series Foundation Models (TSFMs) are transforming the field of forecasting. However, evaluating them on historical data is increasingly difficult due to the risks of train-tes…
Parameter Averaging in Link Prediction
Rupesh Sapkota, Caglar Demir, Arnab Sharma +1
Ensemble methods are widely employed to improve generalization in machine learning. This has also prompted the adoption of ensemble learning for the knowledge graph embedding (KGE)…
CQD-SHAP: Explainable Complex Query Answering via Shapley Values
Parsa Abbasi, Stefan Heindorf
Complex query answering (CQA) goes beyond the widely studied link prediction task by addressing more sophisticated queries that require multi-hop reasoning over incomplete knowledg…
Discrete Diffusion-Based Model-Level Explanation of Heterogeneous GNNs with Node Features
Pallabee Das, Stefan Heindorf
Many real-world datasets, such as citation networks, social networks, and molecular structures, are naturally represented as heterogeneous graphs, where nodes belong to different t…
HybridFC: A Hybrid Fact-Checking Approach for Knowledge Graphs
Umair Qudus, Michael Roeder, Muhammad Saleem +1
We consider fact-checking approaches that aim to predict the veracity of assertions in knowledge graphs. Five main categories of fact-checking approaches for knowledge graphs have…
A deep learning driven pseudospectral PCE based FFT homogenization algorithm for complex microstructures
Alexander Henkes, Ismail Caylak, Rolf Mahnken
This work is directed to uncertainty quantification of homogenized effective properties for composite materials with complex, three dimensional microstructure. The uncertainties ar…