nmonath / graphgrove
A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search
☆44Updated last year
Alternatives and similar repositories for graphgrove:
Users that are interested in graphgrove are comparing it to the libraries listed below
- LP-SparseMAP: Differentiable sparse structured prediction in coarse factor graphs☆41Updated last year
- Gromov-Wasserstein Alignment of Embeddings☆65Updated 3 years ago
- Python implementation of projection losses.☆25Updated 5 years ago
- Code for gradient rollback, which explains predictions of neural matrix factorization models, as for example used for knowledge base comp…☆21Updated 3 years ago
- Scalable Hierarchical Clustering with Tree Grafting☆28Updated 2 years ago
- Learning Tree structures and Tree metrics☆23Updated 6 months ago
- Code for NeurIPS 2019 paper "Hierarchical Optimal Transport for Document Representation"☆54Updated 5 years ago
- Skip-gram word embeddings in hyperbolic space☆34Updated 6 years ago
- TextGraphs-14 Shared Task on Multi-Hop Inference Explanation Regeneration☆9Updated 4 years ago
- Adaptation of TextWorld for materials synthesis procedures analysis using Text To Quest System☆9Updated last year
- Codebase implementing LMs for learning the Dyck-(k,m) bounded hierarchical language☆15Updated 4 years ago
- ☆15Updated 2 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 6 years ago
- Reference implementations of basic and advanced hypergraph algorithms.☆47Updated last year
- Pytorch implementation of DiffMask☆55Updated last year
- ☆14Updated 3 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆36Updated last year
- Lightweight implementations of generative label models for weakly supervised machine learning☆20Updated 10 months ago
- ☆29Updated 3 years ago
- ☆22Updated 3 years ago
- Humans understand novel sentences by composing meanings and roles of core language components. In contrast, neural network models for nat…☆27Updated 4 years ago
- Official implementation (learning part) for paper: Numerically Accurate Hyperbolic Embeddings Using Tiling-Based Models☆18Updated 6 months ago
- A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the re…☆22Updated 5 years ago
- Rep the Set: Neural Networks for Learning Set Representations☆29Updated 4 years ago
- Implementation of fast algorithms for Maximum Spanning Tree (MST) parsing that includes fast ArcMax+Reweighting+Tarjan algorithm for sing…☆14Updated last year
- A Python package for hubness analysis and high-dimensional data mining☆44Updated 8 months ago
- Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.☆48Updated last year
- Python implementation of smooth optimal transport.☆57Updated 3 years ago
- Variable-order CRFs with structure learning☆15Updated 6 months ago
- TransformerDB☆19Updated 3 years ago