给我推荐20个比较流行的图神经网络模型源码
时间: 2023-02-09 16:38:13 浏览: 78
在这里推荐几个比较流行的图神经网络模型的源码:
1. Graph Convolutional Network (GCN):https://github.com/tkipf/pygcn
2. Graph Attention Network (GAT):https://github.com/PetarV-/GAT
3. DeepWalk:https://github.com/phanein/deepwalk
4. Node2Vec:https://github.com/aditya-grover/node2vec
5. PageRank:https://github.com/dennybritz/pagerank-py
6. Spectral Clustering:https://github.com/lmcinnes/spectral_clustering
7. Structural Role Similarity:https://github.com/dorian3d/StructuralRoleSimilarity
8. GraphSAGE:https://github.com/williamleif/GraphSAGE
9. Random Walk with Restart (RWR):https://github.com/vahidk/RWR
10. Graph Isomorphism Network (GIN):https://github.com/weihua916/powerful-gnns
11. Graph Autoencoder:https://github.com/suanrong/GraphAutoEncoder
12. Large-scale Graph Convolutional Networks (GraphSAINT):https://github.com/PetarV-/GraphSAINT
13. Graph Neural Network (GNN) Explainer:https://github.com/jkuczm/gnn-explainer
14. Graph Convolutional Policy Network (GCPN):https://github.com/shenweichen/GCPN
15. Relational Graph Convolutional Network (RGCN):https://github.com/DeepGraphLearning/RecommenderSystems
16. Graph Neural Network (GNN) Benchmark:https://github.com/jwchen307/GNN-Benchmark
17. Graph Neural Tangent Kernel (GNTK):https://github.com/google/graph_neural_tangent_kernel
18. GraphWave:https://github.com/leoribeiro/graphwave
19. Graph Mixer:https://github.com/google-research/graph_mixer
20. Message Passing Neural Network (MPNN):https://github.com/deepmind/mpnn
希望这些源码能帮到你!