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Da Zheng

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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Tango: rethinking quantization for graph neural network training on GPUs

Aug 02, 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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Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs

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Apr 20, 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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OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization

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Jan 31, 2023
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PIGEON: Optimizing CUDA Code Generator for End-to-End Training and Inference of Relational Graph Neural Networks

Jan 16, 2023
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