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Danai Koutra

LinkGPT: Teaching Large Language Models To Predict Missing Links

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Jun 07, 2024
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Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks

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Jan 07, 2024
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Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training

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Dec 24, 2023
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Leveraging Graph Diffusion Models for Network Refinement Tasks

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Nov 29, 2023
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TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning

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Sep 25, 2023
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Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks

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Jun 26, 2023
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On Performance Discrepancies Across Local Homophily Levels in Graph Neural Networks

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Jun 08, 2023
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SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks

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Jun 01, 2023
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Simplifying Distributed Neural Network Training on Massive Graphs: Randomized Partitions Improve Model Aggregation

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May 17, 2023
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A Closer Look at Scoring Functions and Generalization Prediction

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Mar 23, 2023
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