A Deep Graph-based Toolbox for Fraud Detection

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

Convert a DBLP XML file to CSV format.

A python parser for DBLP dataset

A simple python script for parsing DBLP dataset

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.

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.

Analyse Social Network of co-authors in DBLP website (https://dblp.uni-trier.de) using NetworkX.

A python parser for DBLP Computer Science Bibliography

Hadoop MapReduce computational model to perform analyses on DBLP publication data

东南大学数据挖掘作业，使用 FP-growth 挖掘 DBLP 学者关系

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

This repo holds a Rest API on top of neo4j use case for academic publications exported by DBLP (online computer science bibliography)

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.

Page rank implementation in SPARK to rank authors and venues based on their publications in the DBLP dataset.

Exploratory Data Analysis Project for Data Analytics F98 in University of Tehran - mirror of https://gitlab.com/hadi_sfr/dblp-collaboration-trends

Mini-combination of CSRankings, GoogleScholar and DBLP

Running map reduce on a DBLP dataset to find the relations between UIC professors and their publications.

Creates a citation report from DBLP to see the impact factors of CS conferences.