Awesome Graph Embedding Techniques
Random Walk:
Deep Learning:
| Name |
Paper Link |
Code Link |
| Graph Convolutional Neural Network |
Paper |
Code link |
| Structural Deep Network Embedding |
Paper |
Code link |
| CANE: Context-Aware Network Embedding for Relation Modeling |
Paper |
Code link |
| Graph Convolutional Neural Networks for Web-Scale Recommender Systems |
Paper |
- |
| ANRL: Attributed Network Representation Learning via Deep Neural Networks |
Paper |
- |
| Deep Inductive Network Representation Learning |
Paper |
- |
| Deep Attributed Network Embedding |
Paper |
|
| Constructing Narrative Event Evolutionary Graph for Script Event Prediction |
Paper |
Code link |
| Stochastic Training of Graph Convolutional Networks with Variance Reduction |
Paper |
- |
| FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling |
Paper |
- |
| Large-Scale Learnable Graph Convolutional Networks |
Paper |
Code link |
| Learning Deep Network Representations with Adversarially Regularized Autoencoders |
Paper |
- |
| Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networ |
Paper |
- |
| Learning Structural Node Embeddings via Diffusion Wavelets |
Paper |
- |
| NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks |
Paper |
- |
| Inductive Representation Learning on Large Graphs |
Paper |
Code link |
| Graph Attention Networks |
Paper |
Code link |
Survey:
- Graph Embedding Techniques, Applications, and Performance: A Survey
- Representation Learning on Graphs: Methods and Applications
- Relational inductive biases, deep learning, and graph networks
- Network Representation Learning: An Overview.(In Chinese)
- Network Representation Learning: A Survey
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Python