node2vec-embeddings
There are 14 repositories under node2vec-embeddings topic.
Jash-2000/Dark-Web-analysis
Research Project I completed under Dr Vinti Agrawal at BITS Pilani.
MahaThafar/DTi2Vec
This repository provides an implementation of the DTi2Vec tool, to identify Drug-Target interaction using network embedding and ensemble learning
billmj/GraphML-CONTROLLER-AREA-NETWORK-Attack-Detection
GraphML-based CAN Bus Attack Detection: Detects masquerade attacks in CAN using machine learning.
czgdp1807/linkpred
Simple yet efficient algorithms for Link Prediction in Dynamic Graphs
zaikoval/finnet-solution
3rd place solution of FinNet Challenge Hackathon
aidos-lab/node2vec-surprises
Code for "On the Surprising Behaviour of node2vec"
emilbluemax/InterCommunityInteractionReddit
The aim is to Analyse and predict the possible interactions between the various subreddits present and predict the type of interaction and detect the implicit communities between subreddits This will be through various Network analysis and statistical inferences and predictive model
Rishujamaiyar/Graph_Clustering
Graph Clustering using different techniques. [Node2vec, GraphSAGE, Agglomerative]
Yash2108/topic-classification
This project implements a semi-supervised approach to classify UN speeches. Utilized BERT, Gensim, Node2Vec and Tensorflow
etechoptimist/knowledge_graph_usecase
This repository shows a use case of Graph ML for casinos in marketing: Market Segmentation . Skills: Azure SDK, azure datalake, node2vec, graphml, geometric pytorch, gnn
julioegb/DeepWalk_vs_Node2Vec
This notebook is part of a project on Graph Embedding Techniques. It's a comparison between DeepWalk and Node2Vec using SkipGram applied to a dataset called Github Social Network. I did several tests with different p and q values for Node2Vec, the last p = 0.25 and q = 0.25 were the ones that gave me the best result.
gullo97/graph-topology-classification-ml
Machine learning approach to classify graph nodes based on topology
danielchristopher513/InterCommunity_Interaction_Reddit
The aim is to Analyse and predict the possible interactions between the various subreddits present and predict the type of interaction and detect the implicit communities between subreddits This will be through various Network analysis and statistical inferences and predictive model