Kai Guo

Orcid: 0000-0002-3841-8862

Affiliations:
  • Jilin University, Changchun, China


According to our database1, Kai Guo authored at least 10 papers between 2018 and 2024.

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

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Breaking the curse of dimensional collapse in graph contrastive learning: A whitening perspective.
Inf. Sci., February, 2024

Exploring the Alignment Landscape: LLMs and Geometric Deep Models in Protein Representation.
CoRR, 2024

Learning on Graphs with Large Language Models(LLMs): A Deep Dive into Model Robustness.
CoRR, 2024

Investigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023
Taming over-smoothing representation on heterophilic graphs.
Inf. Sci., November, 2023

Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships.
Proceedings of the International Conference on Machine Learning, 2023

2022
Orthogonal Graph Neural Networks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
IMBENS: Ensemble Class-imbalanced Learning in Python.
CoRR, 2021

CAP: Co-Adversarial Perturbation on Weights and Features for Improving Generalization of Graph Neural Networks.
CoRR, 2021

2018
Cloud-ocean computing: a new scheme of marine data processing.
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018


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