Jingzhe Liu

According to our database1, Jingzhe Liu authored at least 10 papers between 2022 and 2025.

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Bibliography

2025
Higher-order Structure Boosts Link Prediction on Temporal Graphs.
CoRR, May, 2025

Unveiling Mode Connectivity in Graph Neural Networks.
CoRR, February, 2025

2024
One Model for One Graph: A New Perspective for Pretraining with Cross-domain Graphs.
CoRR, 2024

Robust Simultaneous Multislice MRI Reconstruction Using Deep Generative Priors.
CoRR, 2024

Neural Scaling Laws on Graphs.
CoRR, 2024

Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Pure Transformer Pretraining Framework on Text-Attributed Graphs.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

Towards Neural Scaling Laws on Graphs.
Proceedings of the Learning on Graphs Conference, 26-29 November 2024, Virtual., 2024

2022
Penalty Prediction Based on Modulated Hierarchical Attention Coupled with Legal Attribute Recognition.
Proceedings of the IEEE International Conference on Big Data, 2022


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