GitHub topics: graph-sage
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 1,195 - Forks: 228
anomic1911/gcn-graphsage-benchmarking
This repo contains the experiments performed for link prediction, multi-class classification and pairwise node classification task.
Language: Jupyter Notebook - Size: 856 KB - Last synced at: 11 months ago - Pushed at: about 5 years ago - Stars: 10 - Forks: 2
AlbertoFormaggio1/fine_tuning_classification_prediction_GNN
Empirical Research over the possible advantages of pretraining a Graph Neural Network for Classification by using Link Prediction. We used GCN, GAT and GraphSAGE with minibatch generation. Done for the Learning From Networks course taught by professor Fabio Vandin at the University of Padova
Language: Python - Size: 867 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
lrnzgiusti/on-oversquashing
Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
Language: Jupyter Notebook - Size: 948 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0
uditiarora/Twitter-Hateful-User-Detection
Final Year Project
Language: Jupyter Notebook - Size: 64.3 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
