Quantum Jensen-Shannon Graph Kernels using Discrete-time Quantum Walks

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Bai, Lu ; Rossi, Luca ; Cui, Lixin ; Zhang, Zhihong ; Ren, Peng ; Xiao, Bai ; Hancock, Edwin R
  • References (40)
    40 references, page 1 of 4

    Aziz, F., Wilson, R.C., Hancock, E.R., 2013. Backtrackless walks on a graph. IEEE Transactions on Neural Networks and Learning Systems 24, 977-989.

    Bach, F.R., 2008. Graph kernels between point clouds, in: Proceedings of ICML, pp. 25-32.

    Bai, L., Hancock, E.R., 2013. Graph kernels from the jensen-shannon divergence. Journal of Mathematical Imaging and Vision 47, 60-69.

    Bai, L., Hancock, E.R., 2016. Fast depth-based subgraph kernels for unattributed graphs. Pattern Recognition 50, 233-245.

    Bai, L., Ren, P., Hancock, E.R., 2014a. A hypergraph kernel from isomorphism tests, in: Proceedings of ICPR, pp. 3880-3885.

    Bai, L., Rossi, L., Bunke, H., Hancock, E.R., 2014b. Attributed graph kernels using the jensen-tsallis q-differences, in: Proceedings of ECML-PKDD, pp. 99-114.

    Bai, L., Rossi, L., Torsello, A., Hancock, E.R., 2015a. A quantum jensenshannon graph kernel for unattributed graphs. Pattern Recognition 48, 344- 355.

    Bai, L., Rossi, L., Zhang, Z., Hancock, E.R., 2015b. An aligned subtree kernel for weighted graphs, in: Proceedings of ICML, pp. 30-39.

    Bai, L., Zhang, Z., Wang, C., Bai, X., Hancock, E.R., 2015c. A graph kernel based on the jensen-shannon representation alignment, in: Proceedings of IJCAI, pp. 3322-3328.

    Barra, V., Biasotti, S., 2014. 3d shape retrieval and classification using multiple kernel learning on extended reeb graphs. The Visual Computer 30, 1247- 1259.

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