Ahmed, N., et al.: Graphlet decomposition: framework, algorithms, and applications. Knowl. Inf. Syst. 50(3), 689–722 (2017)
Alon, N., et al.: Biomolecular network motif counting and discovery by color coding. Bioinformatics 24(13), 241–249 (2008)
Alon, N., Yuster, R., Zwick, U.: Finding and counting given length cycles. Algorithmica 17, 209–223 (1997)
Bonne, M., Censor-Hillel, K.: Distributed detection of cliques in dynamic networks. In: Baier, C., Chatzigiannakis, I., Flocchini, P., Leonardi, S. (eds.) Proceedings of International Colloquium on Automata, Languages, and Programming, pp 132:1–132:15. Dagstuhl Publishing (2019)
Chakaravarthy, V., et al.: Subgraph counting: Color coding beyond trees. In: O’Conner, L. (ed.) International Symposium on Parallel and Distributed Processing Symposium Proceedings, pp 2–11. Piscataway, IEEE (2016)
Chen, L., et al.: A GraphBLAS approach for subgraph counting. ArXiv, https://doi.org/10.48550/arXiv.1903.04395.
Chiba, N., Nishizeki, T.: Arboricity and subgraph listing algorithms. SIAM J. Comput. 14(1), 210–223 (1985)
Danisch, M., Balalau, O., Sozio, M.: Listing \(k\)-cliques in sparse real-world graphs. In: Champin, P.-A. et al. (eds.) Proceedings of International Conference on World Wide Web, pp 589–598. International WWW Conference Committee (2018)
Dave, V., Ahmed, N., Hasan, M.: PE-CLoG: Counting edge-centric local graphlets. In: Nie, J-Y et al. (eds.) Proceedings of International Conference on Big Data, pp 586–595. IEEE, Piscataway (2017)
Dhulipala, L., Liu, Q., Shun, J., Yu, S.: Parallel batch-dynamic \(k\)-clique counting. In: Shapira, M. (ed.) Proceedings of Symposium on Algorithmic Principles of Computer Science, pp. 129–143. SIAM, Philadelphia (2021)
Dvorak, Z., Tuma, V.: A dynamic data structure for counting subgraphs in sparse graphs. In: Dehne, F., Solis-Oba, R., Sack, J.-R. (eds.) Proceedings of Workshop on Algorithms and Data Structures, pp. 304–315. Springer-Verlag, Berlin (2013)
Eisenbrand, F., Grandoni, F.: On the complexity of fixed parameter clique and dominating set. Theoret. Comput. Sci. 326(1–3), 57–67 (2004)
Eppstein, D.: Arboricity and bipartite subgraph listing algorithms. Inf. Process. Lett. 51(4), 207–211 (1994)
Eppstein, D., Goodrich, M., Strash, D., Trott, L.: Extended dynamic subgraph statistics using h-index parameterized data structures. Theoret. Comput. Sci. 447, 44–52 (2012)
Eppstein, D., Spiro, E.: The h-index of a graph and its application to dynamic subgraph statistics. In: Dehne, F., Gavrilova, M., Sack, J., Tóth, C. (eds.) Proceedings of Workshop on Algorithms and Data Structures, pp 278–289. Springer-Verlag, Berlin (2009)
Finocchi, F., Finocchi, M., Fusco, E.: Clique counting in MapReduce: algorithms and experiments. J. Experimen. Algorithmics 20, 1.7:1-1.7:20 (2015)
Goodrich, M., Pszona, P.: External-memory network analysis algorithms for naturally sparse graphs. In: Demetrescu, C., Halldórsson, M (eds.) Proceedings of European Symposium on Algorithms, pp 664–676. 2011. Springer-Verlag, Berlin (2011)
Greyser, V., Soszynski, A., Kao, E.: Leveraging linear algebra to count and enumerate simple subgraphs. In: Proceedings of High Performance Extreme Computing Conference, pp. 1-8. IEEE, Piscataway (2020)
Jain, S., Seshadhri., C.: The power of pivoting for exact clique counting. In: Caveree, J., Hu, B., Lalmas, M., Wang, W. (eds.) Proceedings of the 13th International Conference on Web Search and Data Mining, pp. 268–277. Association for Computing Machinery, New York (2020)
Kara, A., et al.: Counting triangles under updates in worst-case optimal time. In: Barcelo, P., Calautti, M. (eds.) Proceedings of International Conference on Database Theory, pp 4:1–4:18. Dagstuhl Publishing (2019)
Kepner, J., Gilbert, J.: Graph algorithms in the language of linear algebra. SIAM, Philadelphia (2011)
Kloks, T., Kratsch, D., Müller, H.: Finding and counting small induced subgraphs efficiently. Inform. Process. Lett. 74(3–4), 115–121 (2000)
Lai, L., et al.: Distributed subgraph matching on timely dataflow. Proc. VLDB Endow. 12(10), 1099–1112 (2019)
Latapy, M.: Main-memory triangle computations for very large (sparse (power-law)) graphs. Theoret. Comput. Sci. 407(1–3), 458–473 (2008)
Leskovec, J., Krevl, A.: SNAP Datasets: Stanford Large Network Dataset Collection.http://snap.stanford.edu/data (2022). Accessed 30 December 2022
López-Presa, J., Chiroque, L., Anta, A.: Novel techniques to speed up the computation of the automorphism group of a graph. J. Appl. Math. 2014(934637), 15 (2014)
Makkar, D., Bader, D., Green, O.: Exact and parallel triangle counting in dynamic graphs. In: Smari, W. (ed.) Proceedings of International Conference on High Performance Computing and Simulation, pp 2–12. IEEE, Piscataway (2017)
McCay, B., Piperno, A.: Practical graph isomorphism, II. J. Symb. Comput. 60, 94–112 (2014)
Mhedhbi, A., Salihoglu, S.: Optimizing subgraph queries by combining binary and worst-case optimal joins. Proc. VLDB Endow. 12(11), 1692–1704 (2019)
Nešetřil, J., Poljak, S.: On the complexity of the subgraph problem. Comment. Math. Univ. Carol. 26(2), 415–419 (1985)
Papadimitriou, C., Yannakakis, M.: The clique problem for planar graphs. Inf. Process. Lett. 13, 131–133 (1981)
Pinar, A., Seshadhri,C., Vishal, V.: ESCAPE: Efficiently counting all 5-vertex subgraphs. In: Barrett, R., Cummings, R. (eds.) Proceedings of International Conference on World Wide Web, pp. 1431–1440. International WWW Conference Committee (2017)
Shi, J., Dhulipala, L., Shun, J.: Parallel clique counting and peeling algorithms. In: Bender, M., Gilbert, J., Hendrickson, B., Sullivan, B. (eds.) Proceedings of the 2021 SIAM Conference on Applied and Computational Discrete Algorithms, pp. SIAM, Philadelphia (2021)
Stoichev, S.: New exact and heuristic algorithms for graph automorphism group and graph isomorphism. ACM J. Experimen. Algorithmics 24(1.15), 1–27 (2019)
Sun, Z., et al.: Efficient subgraph matching on billion node graphs. Proc. VLDB Endow. 5(9), 788–799 (2012)
Vassilevska, V.: Efficient algorithms for clique problems. Inf. Process. Lett. 109(4), 254–257 (2009)
Watts, D., Strogatz, S.: Collective dynamics of small-world networks. Nature 393, 440–442 (1998)