Menglin Yang

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 30

Top Topics

Collaborative Filtering

Graph Embedding

Link Prediction

Top Venues

Publications

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. CoRR (2024)
Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying
Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. KDD (2024)
Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw
Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. WWW (Companion Volume) (2024)
Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen
Foundations and Frontiers of Graph Learning Theory. CoRR (2024)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. KDD (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. ICML (2023)
Menglin Yang, Min Zhou, Hui Xiong, Irwin King
Hyperbolic Temporal Network Embedding. IEEE Trans. Knowl. Data Eng. 35 (11) (2023)
Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King
Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. KDD (2023)
Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King
Hyperbolic Representation Learning: Revisiting and Advancing. CoRR (2023)
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. CoRR (2023)
Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King
WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. SIGIR (2023)
Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger
Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. CoRR (2022)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
HICF: Hyperbolic Informative Collaborative Filtering. KDD (2022)
Min Zhou, Menglin Yang, Lujia Pan, Irwin King
Hyperbolic Graph Representation Learning: A Tutorial. CoRR (2022)
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. WWW (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. SIGIR (2022)
Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. CoRR (2022)
Menglin Yang, Min Zhou, Lujia Pan, Irwin King
Hyperbolic Curvature Graph Neural Network. CoRR (2022)
Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. CoRR (2022)
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
Discovering Representative Attribute-stars via Minimum Description Length. ICDE (2022)
Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King
HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. CoRR (2022)
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. WSDM (2022)
Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King
HICF: Hyperbolic Informative Collaborative Filtering. CoRR (2022)
Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua
Discovering Representative Attribute-stars via Minimum Description Length. CoRR (2022)
Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King
Hyperbolic Graph Neural Networks: A Review of Methods and Applications. CoRR (2022)
Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King
Modeling Scale-free Graphs for Knowledge-aware Recommendation. CoRR (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. KDD (2021)
Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King
Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. CoRR (2021)
Menglin Yang, Ziqiao Meng, Irwin King
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. CoRR (2021)
Menglin Yang, Ziqiao Meng, Irwin King
FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. ICDM (2020)