Multi-label propagation on graphs with GraphSage
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Updated
Nov 15, 2020 - C++
Multi-label propagation on graphs with GraphSage
Bachelor Thesis
GNN training in kubeflow.
Prediction of abnormal return of selected publically trading pharma companies using NLP techniques and tools; special focus on graph-based representation of transcripts of a conversation.
Django Application of a Book Recommendation Graph Network (GraphSAGE)
DGL Implementation of "Efficient Sampling Techniques for Embedding Large Graphs". KCC 2022
This repo contains Pytorch-Lightning implementations of GCN and GraphSAGE for Node Classification and Link Prediction (as a way for Recommendation System) on the Cora dataset and CUHKSZ-AG dataset.
repo for learning graph neural network
Using unsupervised custom GraphSAGE based neural networks to perform outlier detection
Official DGL Implementation of "Distributed Graph Data Augmentation Technique for Graph Neural Network". KSC 2023
learning station embedding
Dist-DGL running on wsl2, minikube with single machine
Code implementation & CLI tool for the paper: "Graph Based Temporal Aggregation for Video Retrieval"
CS224W Winter 2021 Machine learning with Graphs
Graph Mining course @ IUT-4001
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