Final assignment of EE226 course in SJTU by Group 12

Link prediction model that predicts whether pairs of GitHub developers will have mutual followers

Aim is to convert nodes and node attributes of the DBLP Citation graph to analyze graph specific trends. This objective entailed two tasks, recreating a search algorithm for sampling the neighborhood as per the Node2Vec algorithm and extract feature embeddings using the Word2Vec skip-gram architecture. The nodes (papers)are represented into a fi…

Social Graph Analysis

Zero-to-hero for Graph Neural Networks

Undergraduate Thesis

Alternative data clustering method based on Node2Vec algorithm.

The notebooks for the competition Data Science Bowl 2019

Building node2vec algorithm

Apply Multi-class node classification algorithm to classify Facebook page content type

Inverstigate different graph embedding algorithms

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.

Exemplo do node2vec em Summoner's Rift

Link Prediction on hyperlinks graph of Reddit.

Graph neural network models to perform link prediction on the nba and ncaa point differential graph on seasons 2013-2019, 2021.

Tensorflow implementation of HARP (https://research.google.com/pubs/pub46519.html)

Benchmarking Node2vec and DeepWalk for course on Graph Neural Networks

This repository is a progressive project focusing on main concepts which highlights the evolution of Network science in the field of Graph data.