Learning Structural Node Representations Using Graph Kernels
暂无分享,去创建一个
[1] Kurt Mehlhorn,et al. Efficient graphlet kernels for large graph comparison , 2009, AISTATS.
[2] Danai Koutra,et al. RolX: structural role extraction & mining in large graphs , 2012, KDD.
[3] Ryan A. Rossi,et al. Role Discovery in Networks , 2014, IEEE Transactions on Knowledge and Data Engineering.
[4] R. Merton. Social Theory and Social Structure , 1958 .
[5] Jure Leskovec,et al. Learning Structural Node Embeddings via Diffusion Wavelets , 2017, KDD.
[6] Kurt Mehlhorn,et al. Weisfeiler-Lehman Graph Kernels , 2011, J. Mach. Learn. Res..
[7] Massimo Bartoletti,et al. Data Mining for Detecting Bitcoin Ponzi Schemes , 2018, 2018 Crypto Valley Conference on Blockchain Technology (CVCBT).
[8] Ian Davidson,et al. Guided learning for role discovery (GLRD): framework, algorithms, and applications , 2013, KDD.
[9] Emmanuel Müller,et al. VERSE: Versatile Graph Embeddings from Similarity Measures , 2018, WWW.
[10] Michalis Vazirgiannis,et al. Matching Node Embeddings for Graph Similarity , 2017, AAAI.
[11] Philip S. Yu,et al. Deep Recursive Network Embedding with Regular Equivalence , 2018, KDD.
[12] Steven Skiena,et al. DeepWalk: online learning of social representations , 2014, KDD.
[13] Daniel R. Figueiredo,et al. struc2vec: Learning Node Representations from Structural Identity , 2017, KDD.
[14] Jian Pei,et al. Community Preserving Network Embedding , 2017, AAAI.
[15] Qiongkai Xu,et al. GraRep: Learning Graph Representations with Global Structural Information , 2015, CIKM.
[16] Michalis Vazirgiannis,et al. Graph Kernels: A Survey , 2019, J. Artif. Intell. Res..
[17] Jie Wu,et al. Small Worlds: The Dynamics of Networks between Order and Randomness , 2003 .
[18] Mark Heimann,et al. REGAL: Representation Learning-based Graph Alignment , 2018, CIKM.
[19] Hans-Peter Kriegel,et al. Shortest-path kernels on graphs , 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).
[20] Kristian Kersting,et al. Faster Kernels for Graphs with Continuous Attributes via Hashing , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[21] Kevin Chen-Chuan Chang,et al. A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications , 2017, IEEE Transactions on Knowledge and Data Engineering.
[22] Jure Leskovec,et al. node2vec: Scalable Feature Learning for Networks , 2016, KDD.
[23] Dragomir R. Radev,et al. The ACL anthology network corpus , 2009, Language Resources and Evaluation.
[24] Cody Buntain,et al. Identifying social roles in reddit using network structure , 2014, WWW.
[25] Yang Liu,et al. subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs , 2016, ArXiv.