Menglin Yang

Awesome-Hyperbolic-Representation-and-Deep-Learning. Paper list about hyperbolic embedding, hyperbolic models,hyperbolic applications

HTGN. PyTorch Implementation for "Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space (KDD2021)"

hyperbolicTransformer. Pytorch implementation for Hypformer: Exploring Efficient Hyperbolic Transformer Fully in Hyperbolic Space (KDD 2024)

HypLoRA. PyTorch Implementation for Hyperbolic Fine-tuning for LLMs

awesome-lora-adapter.

HICF. PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"

HIE. PyTorch Implementation for "Hyperbolic Representation Learning: Revisiting and Advancing (ICML 2023)"

HRCF. PyTorch Implementation for "HRCF: Enhancing Collaborative Filtering via Hyperbolic Geometric Regularization(WWW2022)"

Awesome-Diffusion-Models. A collection of resources and papers on Diffusion Models

FeatureNorm-ICDM2020. Code for "FeatureNorm: L2 Feature Normalization for Dynamic Graph Embedding"

kHGCN. PyTorch Implementation for "κHGCN: Tree-likeness Modeling via Continuous and Discrete Curvature Learning" (KDD 2023)