Finder papers
Project description
paper finder
Find papers by keywords and venues. Then download it automatically.
Installing
Install and update using pip:
pip install -U paper-finder
功能
论文检索
利用 dblp 提供的API。
论文引用
利用 semanticscholar, 5分钟内只能请求100次,文献多的话可能会比较慢。
论文代码获取
利用 paperswithcode 提供的代码进行代码检查。
常用的期刊列表
CV_A = ["CVPR", "ICCV", "TIP", "TPAMI", "TVCG", "TOG", "SIGGRAPH", "IJCV"]
DM_A = ["KDD", "WWW", "ICDE", "TKDE"]
ML_A = ["ICML", "NIPS", "NeurIPS"]
NLP_A = ["ACL", "SIGIR"]
overall_A = ["AAAI", "IJCAI", "CSCW", "CHI", "Ubicomp", "MM"]
ref_ccf_a = ['AAAI', 'NIPS','ACL','CVPR','ICCV','ICML','IJCAI','WWW','KDD','SIGIR']
ref_ccf_b = ['EMNLP','ECCV','COLING','CIKM','WSDM','NAACL']
ref_other = ['ICLR']
refs = ref_ccf_a + ref_ccf_b + ref_other
Examples
点击这里 查看
Quick Start
Search
from paper_finder.api import search
keyword_list=['knowledge tracing','knowledge trace']
venue_list=['KDD','IJCAI']
output = 'kt_result.csv'
search(keyword_list=keyword_list,venue_list=venue_list,min_year=2016,max_year=2021,output=output)
Your can find venues' name in there.
Download
import pandas as pd
from paper_finder.api import download_from_df
csv_path = "kt_result.csv"
df = pd.read_csv(csv_path)
df = download_from_df(df,save_dir='pdfs')
df.to_csv(csv_path.replace('.csv','_download_result.csv'),index=False)
Todo
- Search papers.
- Download papers
Author Warning
This code is only used for academic communication. The author has no liability for copyright. DO NOT ENGAGE IN ANY ILLEGAL ACTIVITIES. Please download and read the genuine articles from the publisher.
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file paper_finder-0.11.tar.gz.
File metadata
- Download URL: paper_finder-0.11.tar.gz
- Upload date:
- Size: 7.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/26.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.14 tqdm/4.48.2 importlib-metadata/1.7.0 keyring/21.3.0 rfc3986/1.4.0 colorama/0.4.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
1623d51529bed9f3aadce5ebdba9b3dff5c58eac64e5d4c905509ddee4244ee8
|
|
| MD5 |
795f1b15df273e96230068680ef4f4ba
|
|
| BLAKE2b-256 |
fb59421605370710f7daba6fea7be1519eac46c9e24a78c9687e62a1017898ee
|
File details
Details for the file paper_finder-0.11-py3-none-any.whl.
File metadata
- Download URL: paper_finder-0.11-py3-none-any.whl
- Upload date:
- Size: 9.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/26.0 requests/2.25.1 requests-toolbelt/0.9.1 urllib3/1.26.14 tqdm/4.48.2 importlib-metadata/1.7.0 keyring/21.3.0 rfc3986/1.4.0 colorama/0.4.4 CPython/3.6.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5ba729899ca746ac43eba5cc955e8bd51518a9b77a3a88cf39cf2ef6c899bd09
|
|
| MD5 |
f60a9818a0e76f9a77d7cb90d4730ca1
|
|
| BLAKE2b-256 |
3372e157e4e4aefd67fc87e658f8f51c19cb5eeddb42fa2c3ed991fe4d0da392
|