williamleif / GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
☆3,428Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for GraphSAGE
- Simple reference implementation of GraphSAGE.☆996Updated 4 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,237Updated 2 years ago
- DeepWalk - Deep Learning for Graphs☆2,686Updated last year
- Implementation of Graph Auto-Encoders in TensorFlow☆1,647Updated 4 years ago
- How Powerful are Graph Neural Networks?☆1,187Updated 3 years ago
- Generate embeddings from large-scale graph-structured data.☆3,387Updated 8 months ago
- Repository for benchmarking graph neural networks☆2,525Updated last year
- An Open-Source Package for Network Embedding (NE)☆1,687Updated 10 months ago
- GraphVite: A General and High-performance Graph Embedding System☆1,230Updated 5 months ago
- Implementation of Graph Convolutional Networks in TensorFlow☆7,146Updated last year
- Paper Lists for Graph Neural Networks☆2,214Updated 10 months ago
- Implementation and experiments of graph embedding algorithms.☆3,722Updated 8 months ago