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
