Welcome outstanding undergraduates and Master/PhD students to visit our WISC laboratory
and cooperate with me for graph-related research. If you are interested, just drop an email
to me. I also looking for a job in academic and industrial, feel free to contact me.
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[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
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[KDD 2022] HICF: Hyperbolic Informative Collaborative Filtering (acceptance rate: 15.0%)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
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[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
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[KDD 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
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[ICDM 2020] FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding (acceptance rate: 9.8%) [pdf] [code]
Menglin Yang, Ziqiao Meng, Irwin King
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[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
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[ICDE 2022] Discovering Representative Attribute-stars via Minimum Description Length.
Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Lujia Pan, Menglin Yang
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[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
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[NeurIPS 2021 @SSL workshop] 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
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[WWW 2022 @GLB workshop] TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction [pdf] [code]
Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
Menglin YANG
Location: SHB 1024; The Chinese University of Hong Kong; Shatin, N.T., Hong Kong
Email: menglin.yang@outlook.com
GitHub: https://github.com/marlin-codes
About Me
I am a PhD student at Department of Computer Science and Engineering, The Chinese University of Hong Kong (CUHK) advised by Prof. Irwin King. I am interested in the (temporal) graph representation learning, hyperbolic/sphere/semi-Riemannian space embedding, and machine learning theory. Currently, I focus on the following research topics:
Welcome outstanding undergraduates and Master/PhD students to visit our WISC laboratory
and cooperate with me for graph-related research. If you are interested, just drop an email
to me. I also looking for a job in academic and industrial, feel free to contact me.
News
Recent Publications
[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
[KDD 2022] HICF: Hyperbolic Informative Collaborative Filtering (acceptance rate: 15.0%)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
[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
[KDD 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
[ICDM 2020] FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding (acceptance rate: 9.8%) [pdf] [code]
Menglin Yang, Ziqiao Meng, Irwin King
[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
[ICDE 2022] Discovering Representative Attribute-stars via Minimum Description Length.
Jiahong Liu, Philippe Fournier-Viger, Min Zhou, Lujia Pan, Menglin Yang
[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
[NeurIPS 2021 @SSL workshop] 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
[WWW 2022 @GLB workshop] TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction [pdf] [code]
Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
Selected Talks and Tutorial
T0: The Role of Hyperbolic Space for Recommender Systems
@Huawei Graph Neural Network Workshop
T1: Hyperbolic Representation Learning: A Tutorial
@ECML-PKDD 2022 (to arrange)
T2: Hyperbolic Graph Neural Network for Recommender System
@ Search and Recommendation Section, Huawei Noah’s Ark Lab.
T3: Latest Progress: Hyperbolic Graph Embedding
@ Decision Making and Reasoning Section, Huawei Noah’s Ark Lab.
Internship
Professional Services
Teaching