Qincheng Lu

According to our database¹, Qincheng Lu authored at least 9 papers between 2021 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

Representation Learning on Heterophilic Graph with Directional Neighborhood Attention.

[BibT_eX]

[DOI]

CoRR, 2024

Bidirectional Generative Pre-training for Improving Time Series Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2024

2023

TimelyGPT: Recurrent Convolutional Transformer for Long Time-series Representation.

[BibT_eX]

[DOI]

CoRR, 2023

When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Success Probabilities of L2-norm Regularized Babai Detectors and Maximization.

[BibT_eX]

[DOI]

Xiao-Wen Chang

Qincheng Lu

Yingzi Xu

Proceedings of the IEEE International Symposium on Information Theory, 2023

When Do We Need Graph Neural Networks for Node Classification?

[BibT_eX]

[DOI]

Proceedings of the Complex Networks & Their Applications XII, 2023

2022

When Do We Need GNN for Node Classification?

[BibT_eX]

[DOI]

CoRR, 2022

Revisiting Heterophily For Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Is Heterophily A Real Nightmare For Graph Neural Networks To Do Node Classification?

[BibT_eX]

[DOI]

CoRR, 2021

Qincheng Lu

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