Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)

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

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

Facilitating learning, using, and designing graph processing pipelines/models systematically.

Hyperbolic Image Segmentation, CVPR 2022

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022

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

Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020

Improved Embedded Topic Models in Hyperbolic Space

Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021

Conformal Geometry Stonybrook 2020 final project

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

Taxonomy refinement method to improve domain-specific taxonomy systems.

Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data

[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)

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions

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