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1 587 ネットワークの表現学習 Deep Learning [1] Google [2] Deep Learning [3] [4] 2014 Deepwalk [5] 1 2 [6] [7] [8] word2vec[9] word2vec 1

2 word2vec [10] [11] 2014 DeepWalk word2vec DeepWalk word2vec word2vec DeepWalk Spectral Clustering [12] 1 2 LINE [13] GraRep [14] DeepWalk KDD WWW Web [52, 53, 54] [15] [16] word2vec word2vec word2vec paragraph to vec [17] Sequence to Sequnce [18] [19] LDA Latent Dirichlet Allocation word2vec [20] LDA Spectral Clustering word2vec [21] word to vec doc2vec [22] paragraph to vec Sequence to sequence learning with neural networks [23] seq to seq Deep learning Nature 2015 [24] Deep Learning Yosua Bengio

3 589 Vol. 2 [25] PLSA word2vec [26] word2vec Geoffrey E. Hinton [27] Yoshua Bengio [28] Deep Learning Tomas Mikolov [29] word2vec doc2vec, seq2seq Google Deep Mind [30] AI DQN Deep Q-Network Facebook AI Research FAIR [31] Google Microsoft Research [32] Facebook Google ICIR representation Deep Learning DNN ICIR [33] International Conference on Learning Representations EMNLP [34] Conference on Empirical Methods in Natural Language Processing ACL [35] Annual Meeting of the Association for Computational Linguistics COLING [36] International Conference on Computational Linguistics ACL-IJCNLP [37] International Joint Conference on Natural Language Processing ACM SIGKDD [38] ACM SIGKDD Conference on Knowledge Discovery and Data Mining ICML [39] International Conference on Machine Learning AAAI [40] Conference AAAI Conference IJCAI [41] International Joint Conferences on Artificial Intelligence AAAI WWW [42] ACM World Wide Web Conference Web CIKM [43] International Conference on Machine Learning ICML

4 NIPS [44] Annual Conference on Neural Information Processing System Deep Learning Python Gensim [45] Python word2vec doc2vec Tenser Flow [46] Deep Learning 1 Google Chainer [47] Deep Learning PFI 2 2 WWW 2015 LINE [48] word2vec DeepWalk LINE PTE Google Scholar Knowledge Graph Knowledge Graph Knowledge Graph DeepWalk [49] 2 word2vec LINE [50] DeepWalk DeepWalk GraRep [51]

5 591 PTE [52] LINE Heterogeneous Network Embedding [53] text-associated DeepWalk [54] Visualizing Large-scale and High-dimensional Data [55] Network Embedding WWW 2016 LINE Knowledge Graph Knowledge Graph [56] word net Neural Network Web Knowledge Graph Jian Tang [57] LINE PTE Microsoft Research Asia Bryan Perozzi [58] DeepWalk Ph. D. Candiate Barabási [59] BA [60] Deepwalk [61] Python Python LINE [62] C LINUX Visualizing Large-scale and High-dimensional Data [63] Network Embedding 2 1

6 network and embedding network and representation AI [64] CREST [65] 3 [66] Acknowledgement [1] [2] [3] [4] [5] [6] Tell_2015_CVPR_paper.html [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21]

7 593 [22] [23] [24] [25] [26] [27] [28] [29] [30] [31] [32] [33] [34] [35] [36] [37] [38] [39] [40] [41] [42] [43] [44] [45] [46] [47] [48] [49] [50] [51] [52] [53] [54] [55] [56] [57] [58] [59] [60] [61] [62] [63] [64] [65] [66] html

Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate catego

Computational Semantics 1 category specificity Warrington (1975); Warrington & Shallice (1979, 1984) 2 basic level superiority 3 super-ordinate category preservation 1 / 13 analogy by vector space Figure