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08/12/2023
Approximate Answering of Graph Queries
Knowledge graphs (KGs) are inherently incomplete because of incomplete w...
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05/19/2022
Towards a Holistic View on Argument Quality Prediction
Argumentation is one of society's foundational pillars, and, sparked by ...
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11/30/2021
On the Generalization of Agricultural Drought Classification from Climate Data
Climate change is expected to increase the likelihood of drought events,...
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07/10/2021
Improving Inductive Link Prediction Using Hyper-Relational Facts
For many years, link prediction on knowledge graphs (KGs) has been a pur...
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06/15/2021
Query Embedding on Hyper-relational Knowledge Graphs
Multi-hop logical reasoning is an established problem in the field of re...
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12/10/2020
Argument Mining Driven Analysis of Peer-Reviews
Peer reviewing is a central process in modern research and essential for...
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11/04/2020
Diversity Aware Relevance Learning for Argument Search
In this work, we focus on the problem of retrieving relevant arguments f...
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11/03/2020
Memory-Efficient RkNN Retrieval by Nonlinear k-Distance Approximation
The reverse k-nearest neighbor (RkNN) query is an established query type...
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10/30/2020
A Critical Assessment of State-of-the-Art in Entity Alignment
In this work, we perform an extensive investigation of two state-of-the-...
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02/17/2020
Interpretable and Fair Comparison of Link Prediction or Entity Alignment Methods with Adjusted Mean Rank
In this work, we take a closer look at the evaluation of two families of...
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01/29/2020
Unsupervised Anomaly Detection for X-Ray Images
Obtaining labels for medical (image) data requires scarce and expensive ...
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01/24/2020
Active Learning for Entity Alignment
In this work, we propose a novel framework for the labeling of entity al...
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11/19/2019
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned
In this work, we focus on the problem of entity alignment in Knowledge G...
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05/02/2019