FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding. - Menglin Yang 001; Ziqiao Meng; Irwin King (ICDM, 2020)

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space. - Menglin Yang 001; Min Zhou 006; Marcus Kalander; Zengfeng Huang; Irwin King (KDD, 2021)

Modeling Scale-free Graphs for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jian Hao; Irwin King (CoRR, 2021)

Discovering Representative Attribute-stars via Minimum Description Length. - Jiahong Liu 001; Min Zhou 006; Philippe Fournier-Viger; Menglin Yang 001; Lujia Pan; Mourad Nouioua (ICDE, 2022)

HICF: Hyperbolic Informative Collaborative Filtering. - Menglin Yang 001; Zhihao Li 004; Min Zhou 006; Jiahong Liu 001; Irwin King (KDD, 2022)

BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction. - Bisheng Li; Min Zhou 006; Shengzhong Zhang; Menglin Yang 001; Defu Lian; Zengfeng Huang (SIGIR, 2022)

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. - Yankai Chen 001; Menglin Yang 001; Yingxue Zhang 001; Mengchen Zhao; Ziqiao Meng; Jianye Hao; Irwin King (WSDM, 2022)

HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization. - Menglin Yang 001; Min Zhou 006; Jiahong Liu 001; Defu Lian; Irwin King (WWW, 2022)

Enhancing Hyperbolic Graph Embeddings via Contrastive Learning. - Jiahong Liu 001; Menglin Yang 001; Min Zhou 006; Shanshan Feng 001; Philippe Fournier-Viger (CoRR, 2022)

Hyperbolic Graph Neural Networks: A Review of Methods and Applications. - Menglin Yang 001; Min Zhou 006; Zhihao Li 004; Jiahong Liu 001; Lujia Pan; Hui Xiong 001; Irwin King (CoRR, 2022)

TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction. - Min Zhou 006; Bisheng Li; Menglin Yang 001; Lujia Pan (CoRR, 2022)

Hyperbolic Graph Representation Learning: A Tutorial. - Min Zhou 006; Menglin Yang 001; Lujia Pan; Irwin King (CoRR, 2022)

Hyperbolic Curvature Graph Neural Network. - Menglin Yang 001; Min Zhou 006; Lujia Pan; Irwin King (CoRR, 2022)

Hyperbolic Representation Learning: Revisiting and Advancing. - Menglin Yang 001; Min Zhou 006; Rex Ying; Yankai Chen 001; Irwin King (ICML, 2023)

κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning. - Menglin Yang 001; Min Zhou 006; Lujia Pan; Irwin King (KDD, 2023)

Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications. - Min Zhou 006; Menglin Yang 001; Bo Xiong; Hui Xiong 001; Irwin King (KDD, 2023)

WSFE: Wasserstein Sub-graph Feature Encoder for Effective User Segmentation in Collaborative Filtering. - Yankai Chen 001; Yifei Zhang; Menglin Yang 001; Zixing Song; Chen Ma 001; Irwin King (SIGIR, 2023)

Hyperbolic Temporal Network Embedding. - Menglin Yang 001; Min Zhou 006; Hui Xiong 001; Irwin King (IEEE Trans. Knowl. Data Eng., 2023)

Hypformer: Exploring Efficient Transformer Fully in Hyperbolic Space. - Menglin Yang 001; Harshit Verma; Delvin Ce Zhang; Jiahong Liu 001; Irwin King; Rex Ying (KDD, 2024)

Text-Attributed Graph Representation Learning: Methods, Applications, and Challenges. - Delvin Ce Zhang; Menglin Yang 001; Rex Ying; Hady W. Lauw (WWW (Companion Volume), 2024)

Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space. - Menglin Yang 001; Harshit Verma; Delvin Ce Zhang; Jiahong Liu 001; Irwin King; Rex Ying (CoRR, 2024)

Foundations and Frontiers of Graph Learning Theory. - Yu Huang; Min Zhou 006; Menglin Yang 001; Zhen Wang; Muhan Zhang; Jie Wang 005; Hong Xie 004; Hao Wang 076; Defu Lian; Enhong Chen (CoRR, 2024)

Hyperbolic Fine-tuning for Large Language Models. - Menglin Yang 001; Aosong Feng; Bo Xiong; Jihong Liu; Irwin King; Rex Ying (CoRR, 2024)

HARec: Hyperbolic Graph-LLM Alignment for Exploration and Exploitation in Recommender Systems. - Qiyao Ma; Menglin Yang 001; Mingxuan Ju; Tong Zhao 003; Neil Shah; Rex Ying (CoRR, 2024)

Understanding Fine-tuning CLIP for Open-vocabulary Semantic Segmentation in Hyperbolic Space. - Zelin Peng; Zhengqin Xu; Zhilin Zeng; Changsong Wen; Yu Huang; Menglin Yang 001; Feilong Tang; Wei Shen 002 (CVPR, 2025)

Lorentzian Residual Neural Networks. - Neil He; Menglin Yang 001; Rex Ying (KDD (1), 2025)

Understanding and Mitigating Hyperbolic Dimensional Collapse in Graph Contrastive Learning. - Yifei Zhang; Hao Zhu 010; Menglin Yang 001; Jiahong Liu 001; Rex Ying; Irwin King; Piotr Koniusz (KDD (1), 2025)

Towards Non-Euclidean Foundation Models: Advancing AI Beyond Euclidean Frameworks. - Menglin Yang 001; Yifei Zhang; Jialin Chen; Melanie Weber 001; Rex Ying (WWW (Companion Volume), 2025)

Low-Rank Adaptation for Foundation Models: A Comprehensive Review. - Menglin Yang 001; Jialin Chen; Yifei Zhang; Jiahong Liu 001; Jiasheng Zhang; Qiyao Ma; Harshit Verma; Qianru Zhang; Min Zhou 006; Irwin King; Rex Ying (CoRR, 2025)

Hierarchical Graph Topic Modeling with Topic Tree-based Transformer. - Delvin Ce Zhang; Menglin Yang 001; Xiaobao Wu; Jiasheng Zhang; Hady W. Lauw (CoRR, 2025)

Position: Beyond Euclidean - Foundation Models Should Embrace Non-Euclidean Geometries. - Neil He; Jiahong Liu 001; Buze Zhang; Ngoc Bui; Ali Maatouk; Menglin Yang 001; Irwin King; Melanie Weber 001; Rex Ying (CoRR, 2025)

HyperCore: The Core Framework for Building Hyperbolic Foundation Models with Comprehensive Modules. - Neil He; Menglin Yang 001; Rex Ying (CoRR, 2025)

HELM: Hyperbolic Large Language Models via Mixture-of-Curvature Experts. - Neil He; Rishabh Anand; Hiren Madhu; Ali Maatouk; Smita Krishnaswamy; Leandros Tassiulas; Menglin Yang 001; Rex Ying (CoRR, 2025)

Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. - Ngoc Bui; Menglin Yang 001; Runjin Chen; Leonardo Neves; Mingxuan Ju; Rex Ying; Neil Shah; Tong Zhao 003 (CoRR, 2025)

Hyperbolic Deep Learning for Foundation Models: A Survey. - Neil He; Hiren Madhu; Ngoc Bui; Menglin Yang 001; Rex Ying (CoRR, 2025)