Menglin Yang's Homepage

YANG, Menglin

SHB 1024, Department of Computer Sciences and Engineering
The Chinese University of Hong Kong, Shatin, N.T., Hong Kong (CUHK)
GitHub, DBLP, Scholar

About Me

I am a final-year Ph.D. student in Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK) supervised by Prof. Irwin King. My current research includes graph learning and non-Euclidean (especially the hyperbolic) representation learning, which can be found in the following topics:

If you are interested in collaborating or exploring internship opportunities in CUHK’s MISC lab in these area, please don’t hesitate to reach out to me. I am happy to discuss any potential opportunities further with you.

Recent Works

  1. [TKDE 2022] Hyperbolic Temporal Network Embedding [paper][code]
    Menglin Yang, Min Zhou, Hui Xiong, Iriwn King

  2. [Survey] Hyperbolic Graph Neural Networks: A Review of Methods and Application [pdf][GitHub]
    Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

  3. [SIGKDD 2022] HICF: Hyperbolic Informative Collaborative Filtering (acceptance rate: 15.0%)[pdf][code]
    Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

  4. [WWW 2022] HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization (acceptance rate: 17.7%) [pdf][code]
    Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King

  5. [SIGKDD 2021] Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (acceptance rate: 15.4%) [pdf] [code]
    Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

  6. [ICDM 2020] FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding (acceptance rate: 9.8%) [pdf] [code]
    Menglin Yang, Ziqiao Meng, Irwin King

  7. [WSDM 2022] Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation (acceptance rate: 20.23%) [pdf][code]
    Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King

  8. [ICDE 2022] Discovering Representative Attribute-stars via Minimum Description Length.[pdf]
    Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Lujia Pan, Menglin Yang

  9. [SIGIR 2022] BSAL: A Framework of Bi-component Structural and Attribute Learning for Link Prediction. [pdf] [code]
    Bisheng Li*, Min Zhou*, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
    *The first two authors have equal contribution

  10. [2nd SSL workshop@NeurIPS 2021] Enhancing Hyperbolic Graph Embeddings via Contrastive Learning [pdf]
    Jiahong Liu*, Menglin Yang*, Min Zhou, Shanshan Feng, Philippe Fournier-Viger
    *The first two authors have equal contribution

  11. [GLB workshop@WWW 2022] TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction [pdf] [code]
    Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan


  1. Hyperbolic Representation Learning: A Tutorial
    @ECML-PKDD 2022. August 23, 2022
  2. Deep Learning on Graphs
    @DeepLearn 2022 Summer School. July 25-29, 2022
  3. Deep Learning on Graphs
    @ICONIP 2020, Nov 18, 2020
  4. Hyperbolic Representation Learning in Recommender System and Quant
    @Learning on Graphs Seminar. August 6, 2022
  5. Hyperbolic Graph Neural Network: Methods and Applications
    @Huawei GNN Workshop Day. May 6, 2022
  6. Hyperbolic Graph Neural Network for Recommender System
    @Search and Recommendation Section, Huawei Noah’s Ark Lab. March 16, 2022

Student Mentorship

Professional Services