Implemented Machine Learning Algorithms in Hyperbolic Geometry (MDS, K-Means, Support vector machines, etc.)
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Updated
May 19, 2020 - Jupyter Notebook
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)
Hyperbolic Image Segmentation, CVPR 2022
Code for CVPR-W 2020 paper "Hierarchical Image Classification using Entailment Cone Embeddings" https://arxiv.org/abs/2004.03459
Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces
Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020
Code for the paper Joint Learning of Hyperbolic Label Embeddings for Hierarchical Multi-label Classification (EACL '21)
Improved Embedded Topic Models in Hyperbolic Space
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Conformal Geometry Stonybrook 2020 final project
Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
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
Learning Tree structures and Tree metrics
PyTorch Implementation for "Hyperbolic Informative Collaborative Filtering(KDD2022)"
Model-based deep hyperbolic manifold learning for visualizing complex hierarchical structures in single-cell genomics data
[EMNLP'21 Findings] HyperExpan: Taxonomy Expansion with Hyperbolic Representation Learning
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