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Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

active 2023-08-192025-12-02 (UTC)

Complete coverage26,518 / 26,518 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
118
Pushes
9
Pull requests
2
Issues
14
Stars
62
Forks
10

Activity over time

Daily event counts in the loaded window

Line chart, 837 days from 2023-08-19 to 2025-12-02. Pushes: 9 total, peak 7 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 14 total, peak 2 in a day. Comments: 18 total, peak 3 in a day. Stars: 62 total, peak 4 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
andreagemelli24926
HonLZL6004
0000F85003
MohamedElghazi012000
Dollyyyyy2001
VimukthiRandika19972002
deaale61000
enricivi1000
vvv-tech1001
adoubleb1000
francescobaio1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#22francescobaio2025-10-16 22:14
    Missing data module
  • Issue comment#22andreagemelli2025-09-29 09:57
    Missing data module
  • Issue#22adoubleb2025-09-28 07:37
    Missing data module
  • Issue#18andreagemelli2025-09-16 21:31
    RuntimeError: weight tensor should be defined either for all 4 classes or no classes but got weight tensor of shape: [3]
  • Issue comment#17andreagemelli2025-09-16 21:16
    Pydantic problems with dependency mismatches
  • Issue#17andreagemelli2025-09-16 21:16
    Pydantic problems with dependency mismatches
  • Issue comment#19andreagemelli2025-09-16 21:13
    Anyone successfully had this run on M1 Mac CPU?
  • Pull request#21andreagemelli2025-09-16 21:05
  • Pull request#21andreagemelli2025-09-16 21:05
  • Issue comment#18HonLZL2024-03-02 09:28
    RuntimeError: weight tensor should be defined either for all 4 classes or no classes but got weight tensor of shape: [3]
  • Issue comment#18HonLZL2024-02-29 11:38
    RuntimeError: weight tensor should be defined either for all 4 classes or no classes but got weight tensor of shape: [3]
  • Issue#20Dollyyyyy2024-02-17 15:53
    How to train my data ?
  • Issue comment#18Dollyyyyy2024-02-07 14:54
    RuntimeError: weight tensor should be defined either for all 4 classes or no classes but got weight tensor of shape: [3]
  • Issue#190000F82024-01-31 12:34
    Anyone successfully had this run on M1 Mac CPU?
  • Issue comment#170000F82024-01-27 00:24
    Pydantic problems with dependency mismatches
  • Issue comment#170000F82024-01-27 00:17
    Pydantic problems with dependency mismatches
  • Issue comment#170000F82024-01-26 23:02
    Pydantic problems with dependency mismatches
  • Issue#18HonLZL2024-01-25 12:03
    RuntimeError: weight tensor should be defined either for all 4 classes or no classes but got weight tensor of shape: [3]
  • Issue comment#17VimukthiRandika19972024-01-15 08:46
    Pydantic problems with dependency mismatches
  • Issue comment#17andreagemelli2024-01-15 08:31
    Pydantic problems with dependency mismatches
  • Issue comment#17VimukthiRandika19972024-01-14 21:39
    Pydantic problems with dependency mismatches
  • Issue#170000F82024-01-06 01:49
    Pydantic problems with dependency mismatches
  • Issue#16MohamedElghazi012023-12-27 10:06
    OSError: [E050] Can't find model 'en_core_web_lg'.
  • Issue#16MohamedElghazi012023-12-26 21:09
    OSError: [E050] Can't find model 'en_core_web_lg'.
  • Issue comment#15HonLZL2023-11-28 09:18
    How to set tg batch_size

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 62 stars here means stars gained during the window, not the repo's star count.