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Xiang Song

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

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Jun 10, 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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NetInfoF Framework: Measuring and Exploiting Network Usable Information

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Feb 12, 2024
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On the Initialization of Graph Neural Networks

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Dec 05, 2023
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TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning

Sep 25, 2023
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DistTGL: Distributed Memory-Based Temporal Graph Neural Network Training

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Jul 14, 2023
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Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications

Jun 05, 2023
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SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks

Jun 01, 2023
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PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction

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Mar 21, 2023
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IGB: Addressing The Gaps In Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research

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Feb 27, 2023
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