GraphSAGE is a general inductive framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data.
Image from: Inductive Representation Learning on Large Graphs
Source: Inductive Representation Learning on Large GraphsPaper | Code | Results | Date | Stars |
---|
Task | Papers | Share |
---|---|---|
Graph Neural Network | 26 | 13.98% |
Node Classification | 20 | 10.75% |
Link Prediction | 10 | 5.38% |
Graph Attention | 9 | 4.84% |
Graph Representation Learning | 8 | 4.30% |
Graph Classification | 8 | 4.30% |
General Classification | 8 | 4.30% |
Graph Learning | 6 | 3.23% |
Recommendation Systems | 6 | 3.23% |
Component | Type |
|
---|---|---|
🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |