This repo holds a Rest API on top of neo4j use case for academic publications exported by DBLP (online computer science bibliography)
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Updated
Jul 6, 2023 - Python
This repo holds a Rest API on top of neo4j use case for academic publications exported by DBLP (online computer science bibliography)
A simple python script for parsing DBLP dataset
This repository implements the interaction with DBLP, information extraction and pre-processing of papers, and a client to store data to the cs-insights-backend.
Convert a DBLP XML file to CSV format.
A Deep Graph-based Toolbox for Fraud Detection
A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X
Computer Science & Engineering Master's Degree Graduation Thesis. Clustering Graphs - Applying a Label Propagation Algorithm to Detect Communities (in academia) in Graph Databases (ArangoDB). Communities were detected, a GraphQL API with NodeJS and Express and a frontend interface with React, TypeScript and CytoscapeJS were built.
Exploratory Data Analysis Project for Data Analytics F98 in University of Tehran - mirror of https://gitlab.com/hadi_sfr/dblp-collaboration-trends
Creates a citation report from DBLP to see the impact factors of CS conferences.
Analyse Social Network of co-authors in DBLP website (https://dblp.uni-trier.de) using NetworkX.
This project aims at leveraging the capabilities of Apache's Hadoop framework by applying Map-Reduce primitives to analyze publication data. This data distributed as the dblp-dataset is analyzed for no. of publications per author, per year, no. of co-authors per paper etc.
Projected implemented 4 different Top K Sub string matching algorithms from a conference paper using the dblp dataset.There is a wide range of applications that require to query a large database of texts to search for similar strings or substrings. Traditional approximate substring matching requests a user to specify a similarity threshold
Mini-combination of CSRankings, GoogleScholar and DBLP
A python parser for DBLP Computer Science Bibliography
Page rank implementation in SPARK to rank authors and venues based on their publications in the DBLP dataset.
Running map reduce on a DBLP dataset to find the relations between UIC professors and their publications.
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