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George Karypis

GraphStorm: all-in-one graph machine learning framework for industry applications

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Jun 10, 2024
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GNN-RAG: Graph Neural Retrieval for Large Language Model Reasoning

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May 30, 2024
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AutoGluon-Multimodal (AutoMM): Supercharging Multimodal AutoML with Foundation Models

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Apr 30, 2024
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Parameter-Efficient Tuning Large Language Models for Graph Representation Learning

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Apr 28, 2024
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Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization

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Apr 17, 2024
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Pre-training Differentially Private Models with Limited Public Data

Feb 28, 2024
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Extreme Miscalibration and the Illusion of Adversarial Robustness

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Feb 27, 2024
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OpenTab: Advancing Large Language Models as Open-domain Table Reasoners

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Feb 22, 2024
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SemPool: Simple, robust, and interpretable KG pooling for enhancing language models

Feb 03, 2024
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Zero redundancy distributed learning with differential privacy

Nov 20, 2023
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