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Kay Liu

TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency

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Feb 26, 2025
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TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale

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Dec 01, 2024
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LEGO-Learn: Label-Efficient Graph Open-Set Learning

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Oct 21, 2024
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BANGS: Game-Theoretic Node Selection for Graph Self-Training

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Oct 12, 2024
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FedGraph: A Research Library and Benchmark for Federated Graph Learning

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Oct 08, 2024
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Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement

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Jun 03, 2024
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Uncertainty in Graph Neural Networks: A Survey

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Mar 11, 2024
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Overcoming Pitfalls in Graph Contrastive Learning Evaluation: Toward Comprehensive Benchmarks

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Feb 24, 2024
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Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction

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Feb 14, 2024
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Multitask Active Learning for Graph Anomaly Detection

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Jan 24, 2024
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