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Topic: "graph-attention-model"

benedekrozemberczki/awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Language: Python - Size: 1.79 MB - Last synced at: 3 days ago - Pushed at: about 2 years ago - Stars: 4,788 - Forks: 739

benedekrozemberczki/CapsGNN

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

Language: Python - Size: 4.66 MB - Last synced at: 1 day ago - Pushed at: about 2 years ago - Stars: 1,254 - Forks: 199

jordan7186/GAtt

Source code for the GAtt method in "Revisiting Attention Weights as Interpretations of Message-Passing Neural Networks".

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 1

marvinquiet/SpaDOT

Optimal transport modeling uncovers spatial domain dynamics in spatiotemporal transcriptomics

Language: Python - Size: 2.78 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

ImMohammadHosseini/HeCo

:sparkles: Implementation of Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning with pytorch and PyG

Language: Python - Size: 236 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0