├── .gitignore ├── DeepWalk ├── .ipynb_checkpoints │ ├── DeepWalk-checkpoint.ipynb │ └── DeepWalk代码实战-维基百科词条图嵌入可视化-checkpoint.ipynb ├── DeepWalk.ipynb ├── DeepWalk代码实战-维基百科词条图嵌入可视化.ipynb ├── seealsology-data.tsv ├── tsne_vis_2d.csv └── tsne_vis_3d.csv ├── EGES ├── __init__.py ├── alias.py ├── data_process.py ├── eges.py ├── run_eges.py ├── utils.py └── walker.py ├── GGNN ├── __init__.py ├── main.py ├── model.py └── utils │ ├── ._test.py │ ├── __init__.py │ ├── data │ ├── __init__.py │ ├── dataloader.py │ └── dataset.py │ ├── test.py │ └── train.py ├── GNN ├── data_set │ └── filepaths.py ├── dataloader4graph.py ├── pygDataLoader.py ├── s11_graphBasic.py ├── s24_deepwalk.py ├── s24_word2vec.py ├── s25_node2vec.py ├── s31_gcn_pgy.py ├── s32_gat_pgy.py ├── s41_GCN4Rec.py ├── s42_GAT4Rec.py ├── s43_GFM4Rec.py ├── s44_GAFM.py └── utils │ ├── evaluate.py │ ├── osUtils.py │ └── topKevaluate.py ├── Graph ├── data │ └── cora │ │ ├── cora.cites │ │ └── cora.content ├── karate.edgelist └── weighted.karate.edgelist ├── KG ├── data_set │ └── filepaths.py ├── dataloader4KGNN.py ├── dataloader4kge.py ├── s21_TransE.py ├── s22_TransH.py ├── s23_TransR.py ├── s25_RESCAL.py ├── s32_CKE.py ├── s34_MKR.py ├── s42_pathSim.py ├── s43_per.py ├── s44_MetaPath2vec.py ├── s54_ripplenet.py ├── s61_KGCN.py ├── s63_KGAT.py ├── s64_KGFM.py └── utils │ ├── evaluate.py │ ├── osUtils.py │ └── topKevaluate.py ├── Line ├── TF │ ├── .ipynb_checkpoints │ │ └── Line-checkpoint.ipynb │ ├── Line.ipynb │ └── Line.py └── pytorch │ ├── .ipynb_checkpoints │ └── Line-checkpoint.ipynb │ └── Line.ipynb ├── ML ├── .ipynb_checkpoints │ └── 【A1】安装配置NetworkX环境-checkpoint.ipynb ├── SimHei.ttf ├── SimHei.ttf.1 ├── 【A1】安装配置NetworkX环境.ipynb ├── 【A2】创建图-NetworkX内置图.ipynb ├── 【A3】创建图-连接表和邻接表创建图 │ ├── .ipynb_checkpoints │ │ └── 【A3】创建图-连接表和邻接表创建图-checkpoint.ipynb │ ├── grid.edgelist │ ├── triples.csv │ └── 【A3】创建图-连接表和邻接表创建图.ipynb ├── 【A4】创建节点.ipynb ├── 【A5】创建连接.ipynb ├── 【B1】nx.draw可视化函数.ipynb ├── 【B2】美国128城市交通关系无向图可视化 │ ├── data.csv │ ├── knuth_miles.txt.gz │ └── 【B2】美国128城市交通关系无向图可视化.ipynb ├── 【B3】有向图可视化模板.ipynb ├── 【B4】国际象棋对局MultiDiGraph多路图可视化 │ ├── WCC.csv │ ├── WCC.pgn │ ├── chess_masters_WCC.pgn.bz2 │ ├── 【B4】国际象棋对局MultiDiGraph多路图可视化.ipynb │ └── 附录：PGN棋谱数据转csv.ipynb ├── 【B5】自定义节点图标 │ ├── database-storage.png │ ├── laptop.png │ ├── wifi.png │ └── 【B5】自定义节点图标.ipynb ├── 【B6】自我中心图（Ego图）.ipynb ├── 【C1】PageRank节点重要度.ipynb ├── 【C2】节点连接数Node Degree度分析.ipynb ├── 【C3】棒棒糖图特征分析.ipynb ├── 【C4】计算节点特征.ipynb ├── 【C5】北京上海地铁站图数据挖掘 │ ├── .ipynb_checkpoints │ │ └── 【C5】北京上海地铁站图数据挖掘-checkpoint.ipynb │ ├── beijing_subway.csv │ ├── shanghai_subway.csv │ └── 【C5】北京上海地铁站图数据挖掘.ipynb ├── 【C6】计算全图Graphlet个数.ipynb ├── 【C7】拉普拉斯矩阵特征值分解.ipynb ├── 【Z1】扩展阅读.ipynb └── 【Z2】版权及使用说明.ipynb ├── MetapathVec ├── .ipynb_checkpoints │ └── metapathVec-checkpoint.ipynb ├── Cbow.py ├── MetapathVec.py ├── __init__.py ├── metapathVec.ipynb ├── sampler.py └── skip_gram.py ├── Node2Vec ├── .ipynb_checkpoints │ └── node2vec-checkpoint.ipynb └── node2vec.ipynb ├── README.md ├── SDNE ├── pytorch │ ├── __init__.py │ └── model.py └── tf │ ├── .ipynb_checkpoints │ └── SDNE-checkpoint.ipynb │ ├── SDNE.ipynb │ ├── __init__.py │ └── model.py ├── Seq2seq ├── __init__.py ├── cnn-lm.py ├── seq2seq.py ├── seq2seqattention.py └── utils.py ├── TransX ├── Tf │ ├── Config.py │ ├── Main.py │ ├── TransD.py │ ├── TransE.py │ ├── TransH.py │ ├── TransR.py │ └── utils.py └── pytorch │ ├── KG2E.py │ ├── TransA.py │ ├── TransD.py │ ├── TransE.py │ └── TransH.py ├── W2v ├── Cbow.py ├── __init__.py ├── skip_gram.py ├── utils.py └── visual.py ├── gat ├── GAT.ipynb ├── __init__.py ├── gat.py ├── gat_v2.py ├── main.py ├── main2.py └── utils.py ├── gcn ├── .ipynb_checkpoints │ ├── 3_message_passing-checkpoint.ipynb │ └── DGL-checkpoint.ipynb ├── 3_message_passing.ipynb ├── DGL.ipynb ├── __init__.py ├── gcn.py ├── main.py └── utils.py └── graphsage ├── .ipynb_checkpoints └── GraphSage-checkpoint.ipynb ├── GraphSAGE.py ├── 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