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..
Learning Granger Causality for Hawkes Processes
Authors: Hongteng Xu, Mehrdad Farajtabar, Hongyuan Zha
ICML 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Experiments on both synthetic and real-world data show that our method can learn the Granger causality graph and the triggering patterns of the Hawkes processes simultaneously. |
| Researcher Affiliation | Academia | Hongteng Xu EMAIL School of ECE, Georgia Institute of Technology; Mehrdad Farajtabar EMAIL College of Computing, Georgia Institute of Technology; Hongyuan Zha EMAIL College of Computing, Georgia Institute of Technology |
| Pseudocode | Yes | Algorithm 1 Learning Hawkes Processes (MLE-SGLP); Algorithm 2 Selecting basis functions |
| Open Source Code | No | The paper does not contain any statements or links indicating that open-source code for the methodology is provided. |
| Open Datasets | Yes | We test our algorithm on the IPTV viewing record data set (Luo et al., 2015). |
| Dataset Splits | No | The paper mentions training and testing sets ('C = {50, ..., 250} sequences are chosen randomly as training set while the rest 250 sequences are chosen as testing set.') but does not explicitly describe a validation set or its split. |
| Hardware Specification | No | The paper mentions a 'PC with 16GB memory' in the context of a competitor's algorithm running out of memory, not as a specification for the hardware used in their own experiments. |
| Software Dependencies | No | The paper does not provide specific software names with version numbers that would be needed to replicate the experiment. |
| Experiment Setup | Yes | We set αS = 10, αG = 100, αP = 1000. In all trials, Gaussian basis functions are used, whose number and bandlimit are decided by Algorithm 2. We set the time length of impact function to be 8 days... and the number of samples M = 576... |