Friends Recommendation and Link Prediction in Social Netowork

Link prediction using GCN on pytorch

Link Prediction models on Networks

Leveraging Neo4j for recommending Job

Link Prediction in Co-authorship dataset

Link Prediction is about predicting the future connections in a graph. In this project, Link Prediction is about predicting whether two authors will be collaborating for their future paper or not given the graph of authors who collaborated for atleast one paper together.

Graph Neural Network for Disease-Gene Link Prediction

Explained Graph Embedding generation and link prediction

This project contains the data and code used in the paper: Denter, Nils M.; Aaldering, Lukas Jan; Caferoglu, Huseyin (2022): Forecasting future bigrams and promising patents: Introducing text-based link prediction. In Foresight ahead-of-print (ahead-of-print). DOI: doi.org/10.1108/fs-03-2021-0078.

SGNNMD: signed graph neural network for predicting deregulation types of miRNA-disease associations.

Simple yet efficient algorithms for Link Prediction in Dynamic Graphs

Topology-Driven Edge Predictions with Graph Machine Learning for Optical Network Growth: Graph representation learning on real-world optical core networks outperforms edge prediction heuristics by 10 times, achieving up to 93.4% accuracy on BT(UK), COST(EU), and CORONET(USA) by learning from 10% training data.

Using neighborhood-based link prediction methods to predict new links that will occur in networks created from darts championship competitions

Web scraping and web crawling using Scrapy to extract data from MyAnimeList.net to map a network and perform a Social Network Analysis using NetworkX.

Building a Full Stack Social Network Web Application with React JS using Redux, NodeJS, Socket.IO and MongoDB. Utilizing Python's NetworkX library to represent graphs and the FastAPI framework to display follower suggestion results on the frontend. The Link Prediction Model includes algorithms such as CN, Jaccard, AA, and Katz

Tutorial de análisis de redes sociales en Python de JAIIO EAIA 2017

SNACS for CS

😉实现链路预测局部算法，并有AUC，精确度，时间三个指标，使用node2vec发现社区

Link Predict 链接预测

Leveraging Neo4j for recommending Job