Yijian Qin

Orcid: 0000-0002-0419-5226

According to our database1, Yijian Qin authored at least 16 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Causal-Aware Graph Neural Architecture Search under Distribution Shifts.
CoRR, 2024

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

LLM4DyG: Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs?
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet.
Proceedings of the Forty-first International Conference on Machine Learning, 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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