GitHub / gaudelbijay / GraphSAGELite
A general framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a node’s local neighborhood. Here, the implementation of GraphSAGE is based on transductive training
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/gaudelbijay%2FGraphSAGELite
PURL: pkg:github/gaudelbijay/GraphSAGELite
Stars: 3
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 5.29 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 2 years ago
Pushed at: over 3 years ago
Last synced at: over 2 years ago
Topics: convolution-neural-network, deep-neural-networks, generates-embeddings, node-embeddings