LINE is a novel network embedding method which is suitable for arbitrary types of information networks: undirected, directed, and/or weighted. The method optimizes a carefully designed objective function that preserves both the local and global network structures.
Source: Tang et al.
Image source: Tang et al.
Source: LINE: Large-scale Information Network EmbeddingPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Graph Embedding | 5 | 33.33% |
Link Prediction | 2 | 13.33% |
Node Classification | 2 | 13.33% |
Community Detection | 1 | 6.67% |
Self-Supervised Learning | 1 | 6.67% |
Chatbot | 1 | 6.67% |
Decision Making | 1 | 6.67% |
Recommendation Systems | 1 | 6.67% |
Graph Sampling | 1 | 6.67% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |