Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Streaming Belief Propagation for Community Detection
Authors: Yuchen Wu, Jakab Tardos, Mohammadhossein Bateni, André Linhares, Filipe Miguel Goncalves de Almeida, Andrea Montanari, Ashkan Norouzi-Fard
NeurIPS 2021 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We validate our theoretical findings on synthetic and real data. and 5 Empirical evaluation |
| Researcher Affiliation | Collaboration | Yuchen Wu Stanford University EMAIL Jakab Tardos EPFL EMAIL Mohammad Hossein Bateni Google Research EMAIL André Linhares Google Research EMAIL Filipe Miguel Gonçalves de Almeida Google Research filipea@google.com Andrea Montanari Stanford University EMAIL Ashkan Norouzi-Fard Google Research EMAIL |
| Pseudocode | Yes | Algorithm 1 Streaming R-local belief propagation and Algorithm 2 STREAMBP : Bounded-distance streaming BP |
| Open Source Code | No | The paper does not explicitly state that source code for the described methodology is available, nor does it provide a link to a code repository. |
| Open Datasets | Yes | Cora [RA15], Citeseer [RA15], and Polblogs [AG05]. |
| Dataset Splits | No | The paper uses synthetic and real-world datasets but does not explicitly provide details on training, validation, and test dataset splits or the methodology for creating them. |
| Hardware Specification | No | The paper does not provide specific details about the hardware used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific software dependencies with version numbers needed to replicate the experiment. |
| Experiment Setup | Yes | We use various settings for k, a, b, α. and Figure 3 captions (e.g., k = 2, a = 3, b = .1, α = .4.) show specific parameter values. |