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Ingo Scholtes

Insights from Network Science can advance Deep Graph Learning

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Feb 03, 2025
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Hierarchical Graph Pooling Based on Minimum Description Length

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Sep 16, 2024
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Inference of Sequential Patterns for Neural Message Passing in Temporal Graphs

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Jun 24, 2024
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Link Prediction with Untrained Message Passing Layers

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Jun 24, 2024
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From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning

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Jun 07, 2024
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The Self-Loop Paradox: Investigating the Impact of Self-Loops on Graph Neural Networks

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Dec 04, 2023
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Using Causality-Aware Graph Neural Networks to Predict Temporal Centralities in Dynamic Graphs

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Oct 24, 2023
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The Map Equation Goes Neural

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Oct 02, 2023
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Bayesian Inference of Transition Matrices from Incomplete Graph Data with a Topological Prior

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Oct 27, 2022
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One Graph to Rule them All: Using NLP and Graph Neural Networks to analyse Tolkien's Legendarium

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Oct 14, 2022
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