2601.12416v1.pdf
Extension
Size
2 MiB
Media Type
application/pdf
SHA-256 is a widely used cryptographic hash function.
This sequence of letters and numbers can be used as a unique identifier for this file
File Hash: SHA-256
1a8ec3306bc616ed8d3f4405494d499126c5e0127a99fc6480b5300e4db85d16
Annotations
Structured records describing the file.
Read moreTitle
RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning
Keywords
Frequent Subgraph Mining, Multi-task Reinforcement Learning, Graph Neural Networks
Version
1.7
Page Count
13
Subject
- Computing methodologies -> Sequential decision making;
Producer
pikepdf 8.15.1
{
"file/base": {
"record": {
"extension": ".pdf",
"hash": "1a8ec3306bc616ed8d3f4405494d499126c5e0127a99fc6480b5300e4db85d16",
"media_type": "application/pdf",
"media_type_prefix": "application",
"name": "2601.12416v1.pdf",
"size": 1865904
},
"source": {
"execution_id": "b7b799ef-b4c7-4c16-9d0e-4fd7e2bd68d9",
"id": "file/base",
"type": "Model",
"version": "1.0.0"
}
},
"file/pdf": {
"private": false,
"record": {
"creation_date": "2026-01-21T02:04:53Z",
"keywords": [
"Frequent Subgraph Mining",
"Multi-task Reinforcement Learning",
"Graph Neural Networks"
],
"modified_date": "2026-01-21T02:04:53Z",
"page_count": 13,
"producer": "pikepdf 8.15.1",
"subject": "- Computing methodologies -\u003e Sequential decision making; ",
"title": "RLMiner: Finding the Most Frequent k-sized Subgraph via Reinforcement Learning",
"version": "1.7"
},
"source": {
"execution_id": "86321ee9-f9de-4f4b-8191-6c385c2f5c49",
"id": "dorsal/pdf",
"type": "Model",
"version": "1.1.0"
}
}
}
The number of unique users who have indexed this public file record
The date this file's metadata was first publicly indexed by any user.
The most recent date this file's metadata was publicly indexed by any user.
File Statistics
- Views:
- 34
- Indexed by:
- 1 user
- Indexed:
- 2026-02-17