JiaxuanYou / graph-generation
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models
☆697Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for graph-generation
- ☆415Updated 5 years ago
- ☆479Updated 3 years ago
- Position-aware Graph Neural Networks☆395Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆630Updated 2 years ago
- Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019☆470Updated last year
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆832Updated 2 years ago
- Hierarchical Graph Pooling with Structure Learning☆329Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆341Updated 2 years ago
- Graph Auto-Encoder in PyTorch☆417Updated 8 months ago
- How Powerful are Graph Neural Networks?☆1,187Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆971Updated last year
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆448Updated 5 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆383Updated 5 months ago
- A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)☆529Updated 5 years ago
- Simple reference implementation of GraphSAGE.☆998Updated 4 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆267Updated last year
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆977Updated last year
- Graph Markov Neural Networks☆401Updated 4 years ago
- Hyperbolic Graph Convolutional Networks in PyTorch.☆602Updated 3 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆797Updated 11 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆654Updated 2 years ago
- Implementation of the paper "NetGAN: Generating Graphs via Random Walks".☆191Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆470Updated last year
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆610Updated 2 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆519Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆320Updated last year
- A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)☆465Updated 5 years ago
- gnn explainer☆883Updated 2 months ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆487Updated 3 months ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆365Updated last year