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Szárnyas, G. and Bebee, B. and Birler, A. and Deutsch, A. and Fletcher, G. and Gabb, H.A. and Gosnell, D. and Green, A. and Guo, Z. and Hare, K.W. and Hidders, Jan and Iosup, A. and Kiryakov, A. and Kovatchev, T. and Li, X. and Libkin, L. and Lin, H. and Luo, X. and Prat-Pérez, A. and Püroja, D. and Qi, S. and van Rest, O. and Steer, B.A. and Szakállas, D. and Tong, B. and Waudby, J. and Wu, M. and Yang, B. and Yu, W. and Zhang, C. and Zhang, J. and Zhou, Y. and Boncz, P. (2024) The Linked Data Benchmark Council (LDBC): driving competition and collaboration in the graph data management space. In: Performance Evaluation and Benchmarking 15th TPC Technology Conference, TPCTC 2023, 28 Aug - 01 Sep 2023, Vancouver, Canada.

Hu, W. and Gao, J. and Xing, J. and Zhang, C. and Maybank, Stephen J. (2017) Semi-supervised tensor-based graph embedding learning and its application to visual discriminant tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence 39 (1), pp. 172-188. ISSN 0162-8828.

Puolamäki, K. and Papapetrou, Panagiotis and Lijffijt, J. (2010) Visually controllable data mining methods. In: Webb, G. and Liu, B. and Zhang, C. and Gunopulos, D. and Wu, X. (eds.) International Conference on Data Mining Workshops. Washington, USA: IEEE Computer Society, pp. 409-417. ISBN 9780769542577.