Menglin Yang

According to our database, Menglin Yang authored at least 23 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hyperbolic Fine-tuning for Large Language Models.

Menglin Yang, Aosong Feng, Bo Xiong, Jihong Liu, Irwin King, Rex Ying

CoRR, 2024

Foundations and Frontiers of Graph Learning Theory.

Yu Huang, Min Zhou, Menglin Yang, Zhen Wang, Muhan Zhang, Jie Wang, Hong Xie, Hao Wang, Defu Lian, Enhong Chen

CoRR, 2024

Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space.

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

CoRR, 2024

Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges.

Delvin Ce Zhang, Menglin Yang, Rex Ying, Hady W. Lauw

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space.

Menglin Yang, Harshit Verma, Delvin Ce Zhang, Jiahong Liu, Irwin King, Rex Ying

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Hyperbolic Temporal Network Embedding.

Menglin Yang, Min Zhou, Hui Xiong, Irwin King

IEEE Trans. Knowl. Data Eng., November, 2023

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering.

Yankai Chen, Yifei Zhang, Menglin Yang, Zixing Song, Chen Ma, Irwin King

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications.

Min Zhou, Menglin Yang, Bo Xiong, Hui Xiong, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Hyperbolic Representation Learning: Revisiting and Advancing.

Menglin Yang, Min Zhou, Rex Ying, Yankai Chen, Irwin King

Proceedings of the International Conference on Machine Learning, 2023

2022

Hyperbolic Curvature Graph Neural Network.

Menglin Yang, Min Zhou, Lujia Pan, Irwin King

CoRR, 2022

Hyperbolic Graph Representation Learning: A Tutorial.

Min Zhou, Menglin Yang, Lujia Pan, Irwin King

CoRR, 2022

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction.

Min Zhou, Bisheng Li, Menglin Yang, Lujia Pan

CoRR, 2022

Hyperbolic Graph Neural Networks: A Review of Methods and Applications.

Menglin Yang, Min Zhou, Zhihao Li, Jiahong Liu, Lujia Pan, Hui Xiong, Irwin King

CoRR, 2022

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning.

Jiahong Liu, Menglin Yang, Min Zhou, Shanshan Feng, Philippe Fournier-Viger

CoRR, 2022

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization.

Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, Irwin King

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation.

Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction.

Bisheng Li, Min Zhou, Shengzhong Zhang, Menglin Yang, Defu Lian, Zengfeng Huang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

HICF: Hyperbolic Informative Collaborative Filtering.

Menglin Yang, Zhihao Li, Min Zhou, Jiahong Liu, Irwin King

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Discovering Representative Attribute-stars via Minimum Description Length.

Jiahong Liu, Min Zhou, Philippe Fournier-Viger, Menglin Yang, Lujia Pan, Mourad Nouioua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021

Modeling Scale-free Graphs for Knowledge-aware Recommendation.

Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jian Hao, Irwin King

CoRR, 2021

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space.

Menglin Yang, Min Zhou, Marcus Kalander, Zengfeng Huang, Irwin King

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding.

Menglin Yang, Ziqiao Meng, Irwin King

Proceedings of the 20th IEEE International Conference on Data Mining, 2020