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Code for ACL2020 paper "Heterogeneous Graph Neural Networks for Extractive Document Summarization"

active 2023-08-232025-09-12 (UTC)

Partial coverage25,542 / 26,320 hourly files (97%) · 2 absent upstream · 777 failed, retryable2023-08-152026-08-15 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
21
Pushes
0
Pull requests
0
Issues
2
Stars
15
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 752 days from 2023-08-23 to 2025-09-12. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 3 total, peak 1 in a day. Stars: 15 total, peak 2 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
JR-s7631001
EunjungHam531000
HanzalahI1000
yangmuli781001
TuanAnh301001

Recent activity

Latest issues, pull requests and releases

  • Issue#46EunjungHam532025-02-15 11:20
    Some BUGs when training
  • Issue comment#44TuanAnh302024-07-04 19:02
    Cuda version is not compatible with GPU while running the code in T4 GPU runtime of colab.
  • Issue#44HanzalahI2024-02-21 06:58
    Cuda version is not compatible with GPU while running the code in T4 GPU runtime of colab.
  • Issue comment#40JR-s7632023-10-16 07:40
    内存问题
  • Issue comment#38yangmuli782023-08-23 02:43
    Why is there a big gap between the evaluation result of ROUGE and the paper in the single document summary

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 15 stars here means stars gained during the window, not the repo's star count.