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 |
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Task | Papers | Share |
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Node Classification | 20 | 12.90% |
Link Prediction | 10 | 6.45% |
Graph Attention | 9 | 5.81% |
Graph Representation Learning | 8 | 5.16% |
Graph Classification | 8 | 5.16% |
General Classification | 8 | 5.16% |
Graph Learning | 6 | 3.87% |
Recommendation Systems | 6 | 3.87% |
Classification | 5 | 3.23% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |