NRL-implement:一些网络表示方法的实现，包括DeepWalk，LINE，node2vec和GraphGAN（在TensorFlow中）

[{"title":"（ 36 个子文件 9.33MB ） NRL-implement:一些网络表示方法的实现，包括DeepWalk，LINE，node2vec和GraphGAN（在TensorFlow中）","children":[{"title":"NRL-implement-master","children":[{"title":"utils_cora.py <span style='color:#111;'> 1.57KB </span>","children":null,"spread":false},{"title":"results","children":[{"title":"tencent","children":[{"title":"task2_Tencent.csv <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false}],"spread":true},{"title":"cora","children":[{"title":"DeepWalk","children":[{"title":"result.csv <span style='color:#111;'> 3.84MB </span>","children":null,"spread":false}],"spread":true},{"title":"task2_Cora.csv <span style='color:#111;'> 1.23KB </span>","children":null,"spread":false},{"title":"node2vec","children":[{"title":"result.csv <span style='color:#111;'> 3.84MB </span>","children":null,"spread":false}],"spread":true},{"title":"LINE","children":[{"title":"result.csv <span style='color:#111;'> 7.66MB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true},{"title":"GraphGAN","children":[{"title":"config.py <span style='color:#111;'> 1.25KB </span>","children":null,"spread":false},{"title":"main.py <span style='color:#111;'> 10.41KB </span>","children":null,"spread":false},{"title":"utils_graphgan.py <span style='color:#111;'> 1.91KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"generator.py <span style='color:#111;'> 1.46KB </span>","children":null,"spread":false},{"title":"eval_link_prediction.py <span style='color:#111;'> 1.59KB </span>","children":null,"spread":false},{"title":"discriminator.py <span style='color:#111;'> 1.51KB </span>","children":null,"spread":false}],"spread":true},{"title":"data_utils_cora.py <span style='color:#111;'> 3.85KB </span>","children":null,"spread":false},{"title":"DeepWalk","children":[{"title":"main.py <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"graph.py <span style='color:#111;'> 3.03KB </span>","children":null,"spread":false}],"spread":true},{"title":"README.md <span style='color:#111;'> 1.10KB </span>","children":null,"spread":false},{"title":"data","children":[{"title":"tencent","children":[{"title":"train_edges.npy <span style='color:#111;'> 3.24MB </span>","children":null,"spread":false},{"title":"test_edges.npy <span style='color:#111;'> 390.74KB </span>","children":null,"spread":false},{"title":"val_edges.npy <span style='color:#111;'> 195.43KB </span>","children":null,"spread":false},{"title":"val_edges_false.npy <span style='color:#111;'> 390.73KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"test_edges_false.npy <span style='color:#111;'> 781.36KB </span>","children":null,"spread":false},{"title":"adj_train.npz <span style='color:#111;'> 991.05KB </span>","children":null,"spread":false}],"spread":true},{"title":"cora","children":[{"title":"cora.content <span style='color:#111;'> 7.46MB </span>","children":null,"spread":false},{"title":"cora.cites <span style='color:#111;'> 68.29KB </span>","children":null,"spread":false},{"title":"README <span style='color:#111;'> 1.52KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"node2vec","children":[{"title":"main.py <span style='color:#111;'> 2.60KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"graph.py <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false}],"spread":true},{"title":".gitignore <span style='color:#111;'> 52B </span>","children":null,"spread":false},{"title":"LINE","children":[{"title":"main.py <span style='color:#111;'> 2.83KB </span>","children":null,"spread":false},{"title":"__init__.py <span style='color:#111;'> 0B </span>","children":null,"spread":false},{"title":"graph.py <span style='color:#111;'> 3.29KB </span>","children":null,"spread":false}],"spread":true},{"title":"LRclassifier.py <span style='color:#111;'> 2.03KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]