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Haitao Mao

One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs

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Nov 30, 2024
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Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?

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Aug 20, 2024
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Intrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis

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Jul 21, 2024
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A Pure Transformer Pretraining Framework on Text-attributed Graphs

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Jun 19, 2024
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Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights

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Jun 15, 2024
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Cross-Domain Graph Data Scaling: A Showcase with Diffusion Models

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Jun 04, 2024
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On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept

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Jun 04, 2024
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PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming

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Jun 04, 2024
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Graph Machine Learning in the Era of Large Language Models

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Apr 23, 2024
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Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark

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Mar 09, 2024
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