Yijian Qin

According to our database1, Yijian Qin authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Exploring the Potential of Large Language Models in Graph Generation.
CoRR, 2024

Data-Augmented Curriculum Graph Neural Architecture Search under Distribution Shifts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs.
CoRR, 2023

LLM4DyG: Can Large Language Models Solve Problems on Dynamic Graphs?
CoRR, 2023

Large Graph Models: A Perspective.
CoRR, 2023

Multi-task Graph Neural Architecture Search with Task-aware Collaboration and Curriculum.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Joint Data-Task Generation for Auxiliary Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Heterogeneous Graph Attention Neural Architecture Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Graph Neural Architecture Search Under Distribution Shifts.
Proceedings of the International Conference on Machine Learning, 2022

2021
AutoGL: A Library for Automated Graph Learning.
CoRR, 2021

Graph Differentiable Architecture Search with Structure Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

GQNAS: Graph Q Network for Neural Architecture Search.
Proceedings of the IEEE International Conference on Data Mining, 2021


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