Graph Representation Learning

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Graph Representation Learning by Mind Map: Graph Representation Learning

1. Basic Terminology

1.1. Node/Edge

1.2. Degree

1.3. Subgraph

1.4. Walk/Path/Circuit/Cycle

2. Graph Types

2.1. Directed/Undirected graph

2.2. Bipartite graph

2.3. Complete graph

2.4. Path graph

2.5. Cycle graph

2.6. Grid graph

3. Embedding nodes

3.1. Random walk

3.1.1. DeepWalk

3.1.2. LINE

3.1.3. node2vec

3.2. Matrix Factorization

3.2.1. Laplacian Eigenmaps

3.2.2. Graph Factorization

3.2.3. GraRep

3.2.4. HOPE

4. Embedding (sub)graphs

4.1. Graph neural network

4.2. Graph Convolutional Network

4.3. GraphSAGE

4.4. Graph Attention Network

5. Data & Fields

5.1. Social Media

5.2. Healthcare

5.3. Natural Science

5.4. Manufacture Engineering

5.5. NLP

5.6. GIS

5.7. Web Architecture

5.8. Data Visualization

6. Graph Generation

6.1. GraphRNN

6.2. NetGAN