Computer Science ›› 2025, Vol. 52 ›› Issue (12): 115-124.doi: 10.11896/jsjkx.241100090
• Database & Big Data & Data Science • Previous Articles Next Articles
XIE Wenlin, DU Ming, ZHOU Junfeng
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| [1]LIU H,JIN C,YANG B,et al.Finding top-k shortest paths with diversity[C]//ICDE.IEEE Computer Society,2018:1761-1762. [2]OUYANG D,YUAN L,QIN L,et al.Efficient shortest path index maintenance on dynamic road networks with theoretical guarantees[J].VLDB Endow,2020,13(5):602-615. [3]PENG Y,YU J X,WANG S.PSPC:efficient parallel shortest path counting on large-scale graphs[C]//ICDE.IEEE,2023:896-908. [4]LAI L,QING Z,YANG Z,et al.Distributed subgraph matching on timely dataflow[J].VLDB Endow,2019.12(10):1099-1112. [5]WANG K,LIN X,QIN L,et al.Vertex priority based butterfly counting for large-scale bipartite networks[J].VLDB Endow,2019,12(10):1139-1152. [6]KAPUSTA J,MUNK M,SVEC P.Selection of suitable page-rank calculation for analysis of differences between expected and observed probability of accesses to web page[C]//MIWAI.Springer,2018:139-150. [7]LIBEN D,KLEINBERG J M.The link-prediction problem forsocial networks[J].JASIST,2007,58(7):1019-1031. [8]YAN J,WANG W,WU Z,et al.An uncertain graph method based on shuffle model to preserve link privacy of mobile social networks[J].JISE,2024,40(1):125-150. [9]SEVON P,ERONEN L,HINTSANEN P,et al.Link discovery in graphs derived from biological databases[C]//DILS.Sprin-ger,2006:35-49. [10]KIMURA M,SAITO K.Tractable models for information diffusion in social networks[C]//PKDD.Berlin:Springer,2006:259-271. [11]SAHA A,BROKKELKAMP R,VELAJ Y,et al.Shortest paths and centrality in uncertain networks[J].VLDB Endow,2021,14(7):1188-1201. [12]PENG Y,ZHANG Y,ZHANG W,et al.Efficient probabilistic k-core computation on uncertain graphs[C]//ICDE.IEEE Computer Society,2018:1192-1203. [13]ZHOU A,WANG Y,CHEN L.Butterfly counting and bitruss decomposition on uncertain bipartite graphs[J].VLDB J,2023,32(5):1013-1036. [14]KE X,KHAN A,QUAN L H.An in-depth comparison of s-t reliability algorithms over uncertain graphs[J].VLDB Endow,2019,12(8):864-876. [15]DAI Q,LI R,LIAO M,CHEN H,et al.Fast maximal cliqueenumeration on uncertain graphs:A pivot-based approach[C]//SIGMOD.ACM,2022:2034-2047. [16]YASUDA N,SUGAYA T,MINATO S.Fast compilation of s-t paths on a graph for counting and enumeration[C]//AMBN.PMLR,2017:129-140. [17]BIRMELE E,FERREIRA R A,GROSSI R,et al.Optimal lis-ting of cycles and st-paths in undirected graphs[C]//SODA.SIAM,2013:1884-1896. [18]NISHINO M,YASUDA N,MINATO S,et al.Compiling graph substructures into sentential decision diagrams[C]//AAAI.Springer,2017:1213-1221. [19]GROSSI R,MARINO A,VERSARI L.Efficient algorithms for listing k disjoint st-paths in graphs[C]//LATIN.Springer,2018:544-557. [20]RIZZI R,SACOMOTO G,SAGOT M.Efficiently listing boun-ded length st-paths[C]//IWOCA.Springer,2014:318-329. [21]PENG Y,ZHANG Y,LIN X,et al.Hop-constrained s-t simple path enumeration:Towards bridging theory and practice[J].VLDB Endow,2019,13(4):463-476. [22]QIU X,CEN W,QIAN Z,et al.Realtime constrained cycle detection in large dynamic graphs[J].VLDB Endow,2018,11(12):1876-1888. [23]LAI Z,PENG Y,YANG S,et al.PEFP:efficient k hop constrained s-t simple path enumeration on FPGA[C]//ICDE.IEEE,2021:1320-1331. [24]HAO K,YUAN L,ZHANG W.Distributed hop-constrained s-t simple path enumeration at billion scale[J].VLDB Endow,2021,15(2):169-182. [25]SUN S,CHEN Y,HE B,et al.Pathenum:Towards real-time hop constrained s-t path enumeration[C]//SIGMOD.ACM,2021:1758-1770. [26]ZHANG J,YANG S,OUYANG D,et al.Hop constrained s-t simple path enumeration on large dynamic graphs[C]//ICDE.IEEE,2023:762-775. [27]LI X,HAO K,YANG Z,et al.Hop-constrained s-t simple path enumeration in large uncertain graphs[C]//ADC.Springer,2022:115-127. |
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