Scalable symbolic node representation learner, mirror of https://github.com/smeznar/SNoRe
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Updated
Dec 8, 2020 - Python
Scalable symbolic node representation learner, mirror of https://github.com/smeznar/SNoRe
Data and code repository from "DINE: Dimensional Interpretability of Node Embeddings"
This repository contains the Python code of the work done for the project of a course called "Learning from Networks" (Master Degree in Data Science).
This repository contains the implementation of some of the popular Graph Neural Networks (GNNs) using PyTorch Geometric to solve node classification tasks.
**official Code Implementation Of "GIUnet : Graph Isomorphic Unet " .
Simple algorithm for generating graph nodes embeddings
Graphs are a general language for describing and analyzing entities with relations/interactions.
CS224W-Machine learning with Graph by Stanford
My implementation of Deepwalk in PyTorch
Official implementation of "NESS: Node Embeddings from Static Subgraphs"
Term Research Project for the course Scalable Data Mining [IIT Kgp] (CS60021)
Node embedding technique based on Masked Language Model.
Source code for fact-checking using node embeddings of dependency trees
Repository for the paper "Unsupervised Graph Embedding based on Node Similarity"
Network embedding aided vaccine skepticism detection
Convierte tus proyectos de Node.js en ejecutables ( .exe )
Learning Structural Node Representations using Graph Kernels
Simple reference implementation of GraphSAGE.
SimGNN: A Neural Network Approach to Fast Graph Similarity Computation [WSDM-2019]
The SINr approach to train interpretable word and graph embeddings
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