Hepml citation graph

The hepml citation graph consists of papers that where extracted from the HEPML Living Review web page and from the search on inspirehep for the terms (“machine learning” or “deep learning” or “neural”) and (hep-ex or hep-ph or hep-th) via the api

Code (HEPML Living review extraction) Code (Inspirehep search) (commented out)

General properties

Number of papers: 2409 Number of citations: 14928 Papers from “HEP ML Living Review”: 912 Papers from the Inspire search: 2223 Intersection of both: 726 Average references per paper: 6.22 Two papers that are connected within the citation graph have an average distance of 3.64 citations Papers that could not be included because of errors: 53

Most cited papers within dataset

  1. Jet-images - deep learning edition (175)

  2. Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning (140)

  3. Deep learning in color: towards automated quark/gluon jet discrimination (133)

Papers citing most other papers within the dataset

  1. A Living Review of Machine Learning for Particle Physics (385)

  2. Machine learning in the search for new fundamental physics (145)

  3. A guide for deploying Deep Learning in LHC searches: How to achieve optimality and account for uncertainty (118)

The dataset in JSON Format

Converted the citation graph from the neo4j database into json format

Code Data