Code for the paper Learning the Predictability of the Future (CVPR 2021)

Hyperbolic Image Segmentation, CVPR 2022

Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

Source code for HAKG: Hierarchy-Aware Knowledge Gated Network for Recommendation. SIGIR 2022.

Taxonomy refinement method to improve domain-specific taxonomy systems.

[NeurIPS 2022 Oral (Spotlight)] Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

Code for "Rethinking the compositionality of point clouds through regularization in the hyperbolic space" (NeurIPS 2022)

Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021

Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)

Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459

Improved Embedded Topic Models in Hyperbolic Space

The official PyTorch implementation of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2024 paper Hyp²Nav: Hyperbolic Planning and Curiosity for Crowd Navigation.

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

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

[EMNLP'21 Findings] HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning

Hyperbolic geometry for representing structural information to improve the systematic generalization of sequence-to-sequence models

Official PyTorch implementation for Co-Manifold Learning for Semi-supervised Medical Image Segmentation

Let’s train various models to embed Cayley graphs to hyperbolic plane and then study, how much can we say about groups from these embeddings. At the same time, let’s study models generalization ability, by changing their hyperparameters.

About utilizing Hyperbolic space on NLP tasks.