Scalable Graph Neural Networks

Pagerank method

• Scaling Graph Neural Networks with Approximate PageRank

• Scalable Graph Neural Networks via Bidirectional Propagation

Sampling method

• GraphSAINT: Graph Sampling Based Inductive Learning Method
• Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
• Inductive Representation Learning on Large Graphs
• FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
• Stochastic Training of Graph Convolutional Networks with Variance Reduction
• Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks
• Adaptive Sampling Towards Fast Graph Representation Learning

Coarse to fine

• GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding
• MILE: A Multi-Level Framework for Scalable Graph Embedding
• HARP: Hierarchical Representation Learning for Networks

Others

• Large-Scale Learnable Graph Convolutional Networks