Yiyang Gu

Orcid: 0000-0002-5915-4448

According to our database1, Yiyang Gu authored at least 20 papers between 2010 and 2024.

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



In proceedings 
PhD thesis 


On csauthors.net:


Toward the Random Multiaccess in SIoT: A Generalized-Deduplication-Based CRDSA Mechanism.
IEEE Internet Things J., June, 2024

Toward Effective Semi-supervised Node Classification with Hybrid Curriculum Pseudo-labeling.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Self-supervised Graph-level Representation Learning with Adversarial Contrastive Learning.
ACM Trans. Knowl. Discov. Data, February, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2024

A Comprehensive Survey on Deep Graph Representation Learning.
Neural Networks, 2024

Towards Graph Contrastive Learning: A Survey and Beyond.
CoRR, 2024

Hypergraph-enhanced Dual Semi-supervised Graph Classification.
CoRR, 2024

Enhancing Depression-Diagnosis-Oriented Chat with Psychological State Tracking.
CoRR, 2024

A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges.
CoRR, 2024

GPS: Graph Contrastive Learning via Multi-scale Augmented Views from Adversarial Pooling.
CoRR, 2024

PolyCF: Towards the Optimal Spectral Graph Filters for Collaborative Filtering.
CoRR, 2024

A Survey on Graph Neural Networks in Intelligent Transportation Systems.
CoRR, 2024

Unsupervised graph-level representation learning with hierarchical contrasts.
Neural Networks, January, 2023

Graph ODE with Factorized Prototypes for Modeling Complicated Interacting Dynamics.
CoRR, 2023

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education.
CoRR, 2023

A Comprehensive Survey on Deep Graph Representation Learning.
CoRR, 2023

GLCC: A General Framework for Graph-Level Clustering.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Graphine: A Dataset for Graph-aware Terminology Definition Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Quick matting: A matting method based on pixel spread and propagation.
Proceedings of the International Conference on Image Processing, 2010