GraSPy: Graph Statistics in Python
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Abstract (arXiv)
We introduce GraSPy, a Python library devoted to statistical inference, machine learning, and visualization of random graphs and graph populations. This package provides flexible and easy-to-use algorithms for analyzing and understanding graphs with a scikit-learn compliant API. GraSPy can be downloaded from Python Package Index (PyPi), and is released under the Apache 2.0 open-source license. The documentation and all releases are available at https://neurodata.io/graspy.
Key facts. Cited by 15 papers in the map (data through 14 Oct 2026). First posted on arXiv 29 Mar 2019.
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Citing papers per year: 2021: 4; 2022: 2; 2023: 1; 2024: 6; 2025: 1; 2026: 1.
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- 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Modelscited by 17
- 2024Tracking the perspectives of interacting language modelscited by 14
- 2024Consistent estimation of generative model representations in the data kernel perspective spacecited by 10
- 2024Statistical inference on black-box generative models in the data kernel perspective spacecited by 9
- 2021Graph Matching via Optimal Transportcited by 6
- 2022Online Change Point Detection for Weighted and Directed Random Dot Product Graphscited by 6
- 2022Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transportcited by 6
- 2021Inducing a hierarchy for multi-class classification problemscited by 5
- 2024Refined Graph Encoder Embedding via Self-Training and Latent Community Recoverycited by 5
- 2023Gradient-Based Spectral Embeddings of Random Dot Product Graphscited by 3
- 2021Leveraging semantically similar queries for ranking via combining representationscited by 2
- 2021An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spacescited by 2
- 2026The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers21 May 2026
- 2025Principal Graph Encoder Embedding and Principal Community Detection24 Jan 2025
- 2024LASE: Learned Adjacency Spectral Embeddings23 Dec 2024
- 2024Statistical inference on black-box generative models in the data kernel perspective space1 Oct 2024
- 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models29 Sep 2024
- 2024Consistent estimation of generative model representations in the data kernel perspective space25 Sep 2024
- 2024Tracking the perspectives of interacting language models17 Jun 2024
- 2024Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery21 May 2024
- 2023Gradient-Based Spectral Embeddings of Random Dot Product Graphs25 Jul 2023
- 2022Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport25 Oct 2022
- 2022Online Change Point Detection for Weighted and Directed Random Dot Product Graphs26 Jan 2022
- 2021Graph Matching via Optimal Transport9 Nov 2021
- 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Modelscited by 17
- 2024Tracking the perspectives of interacting language modelscited by 14
- 2024Statistical inference on black-box generative models in the data kernel perspective spacecited by 9
- 2021Graph Matching via Optimal Transportcited by 6
- 2022Online Change Point Detection for Weighted and Directed Random Dot Product Graphscited by 6
- 2022Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transportcited by 6
- 2021Inducing a hierarchy for multi-class classification problemscited by 5
- 2024Refined Graph Encoder Embedding via Self-Training and Latent Community Recoverycited by 5
- 2023Gradient-Based Spectral Embeddings of Random Dot Product Graphscited by 3
- 2021Leveraging semantically similar queries for ranking via combining representationscited by 2
- 2021An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spacescited by 2
- 2025Principal Graph Encoder Embedding and Principal Community Detectioncited by 2
12 most cited of 14 All 14 (JSON)
- 2026The ASE-LSE Disagreement Landscape: An End-to-End Characterisation of Extremes and Structural Drivers21 May 2026
- 2025Principal Graph Encoder Embedding and Principal Community Detection24 Jan 2025
- 2024LASE: Learned Adjacency Spectral Embeddings23 Dec 2024
- 2024Statistical inference on black-box generative models in the data kernel perspective space1 Oct 2024
- 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models29 Sep 2024
- 2024Tracking the perspectives of interacting language models17 Jun 2024
- 2024Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery21 May 2024
- 2023Gradient-Based Spectral Embeddings of Random Dot Product Graphs25 Jul 2023
- 2022Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport25 Oct 2022
- 2022Online Change Point Detection for Weighted and Directed Random Dot Product Graphs26 Jan 2022
- 2021Graph Matching via Optimal Transport9 Nov 2021
- 2021An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces26 Sep 2021
12 newest of 14 All 14 (JSON)