human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "tight hardness for shortest cycles and paths in sparse graphs"
  Abstract: Fine-grained reductions have established equivalences between many core problems with $\tilde{O}(n^3)$-time algorithms on $n$-node weighted graphs, such as Shortest Cycle, All-Pairs Shortest Paths (APSP), Radius, Replacement Paths, Second Shortest Paths, and so on. These problems also have $\tilde{O}(mn)$-time algorithms on $m$-edge $n$-node weighted graphs, and such algorithms have wider applicability. Are these $mn$ bounds optimal when $m \ll n^2$? #R##N#Starting from the hypothesis that the minimum weight $(2\ell+1)$-Clique problem in edge weighted graphs requires $n^{2\ell+1-o(1)}$ time, we prove that for all sparsities of the form $m = \Theta(n^{1+1/\ell})$, there is no $O(n^2 + mn^{1-\epsilon})$ time algorithm for $\epsilon>0$ for \emph{any} of the below problems: #R##N#Minimum Weight $(2\ell+1)$-Cycle in a directed weighted graph, #R##N#Shortest Cycle in a directed weighted graph, #R##N#APSP in a directed or undirected weighted graph, #R##N#Radius (or Eccentricities) in a directed or undirected weighted graph, #R##N#Wiener index of a directed or undirected weighted graph, #R##N#Replacement Paths in a directed weighted graph, #R##N#Second Shortest Path in a directed weighted graph, #R##N#Betweenness Centrality of a given node in a directed weighted graph. #R##N#That is, we prove hardness for a variety of sparse graph problems from the hardness of a dense graph problem. Our results also lead to new conditional lower bounds from several related hypothesis for unweighted sparse graph problems including $k$-cycle, shortest cycle, Radius, Wiener index and APSP.

Connected through hyperedge HE-1 (induced by source paper "new algorithms and hardness for incremental single source shortest paths in directed graphs"):
  with members:
    - "decremental sssp in weighted digraphs faster and against an adaptive adversary"
    - "fully dynamic all pairs shortest paths improved worst case time and space bounds"
    - "deterministic algorithms for decremental approximate shortest paths faster and simpler"
    - "decremental strongly connected components and single source reachability in near linear time"
    - "graph pattern detection hardness for all induced patterns and faster non induced cycles"
    - "limits on all known and some unknown approaches to matrix multiplication"
    - "diameter spanners eccentricity spanners and approximating extremal distances"
    - "limits on the universal method for matrix multiplication"

Connected through hyperedge HE-2 (induced by source paper "deterministic algorithms for decremental approximate shortest paths faster and simpler"):
  with members:
    - "decremental sssp in weighted digraphs faster and against an adaptive adversary"
    - "fully dynamic all pairs shortest paths improved worst case time and space bounds"
    - "dynamic approximate shortest paths and beyond subquadratic and worst case update time"
    - "decremental strongly connected components and single source reachability in near linear time"
    - "algorithms and hardness for diameter in dynamic graphs"
    - "diameter spanner eccentricity spanner and approximating extremal graph distances static dynamic and fault tolerant"
    - "deterministic partially dynamic single source shortest paths in weighted graphs"
    - "thorup zwick emulators are universally optimal hopsets"

Connected through hyperedge HE-3 (induced by source paper "optimal polynomial time compression for boolean max csp"):
  with members:
    - "a dichotomy theorem for nonuniform csps"
    - "kernelization of constraint satisfaction problems a study through universal algebra"
    - "the proof of csp dichotomy conjecture"
    - "sparsification upper and lower bounds for graph problems and not all equal sat"
    - "complexity of counting csp with complex weights"
    - "preprocessing of min ones problems a dichotomy"
    - "the approximability of max csp with fixed value constraints"

Connected through hyperedge HE-4 (induced by source paper "equivalences between triangle and range query problems"):
  with members:
    - "approximating apsp without scaling equivalence of approximate min plus and exact min max"
    - "computing quartet distance is equivalent to counting 4 cycles"
    - "algorithms and hardness for diameter in dynamic graphs"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "higher lower bounds from the 3sum conjecture"
    - "minimum weight cycles and triangles equivalences and algorithms"

Connected through hyperedge HE-5 (induced by source paper "graph pattern detection hardness for all induced patterns and faster non induced cycles"):
  with members:
    - "graph pattern polynomials"
    - "homomorphisms are a good basis for counting small subgraphs"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "clique based lower bounds for parsing tree adjoining grammars"
    - "finding even cycles faster via capped k walks"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "powers of tensors and fast matrix multiplication"
    - "faster algorithms for rectangular matrix multiplication"

Connected through hyperedge HE-6 (induced by source paper "answering unions of conjunctive queries using random access and random order enumeration"):
  with members:
    - "optimal algorithms for ranked enumeration of answers to full conjunctive queries"
    - "ranked enumeration of conjunctive query results"
    - "on the enumeration complexity of unions of conjunctive queries"
    - "enumeration complexity of conjunctive queries with functional dependencies"
    - "answering ucqs under updates and in the presence of integrity constraints"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"

Connected through hyperedge HE-7 (induced by source paper "subcubic equivalences between graph centrality measures and complementary problems"):
  with members:
    - "tree edit distance cannot be computed in strongly subcubic time unless apsp can"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "faster all pairs shortest paths via circuit complexity"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-8 (induced by source paper "truly subcubic min plus product for less structured matrices with applications"):
  with members:
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "truly sub cubic algorithms for language edit distance and rna folding via fast bounded difference min plus product"
    - "tight hardness results for maximum weight rectangles"
    - "powers of tensors and fast matrix multiplication"
    - "faster all pairs shortest paths via circuit complexity"

Question: Please tell me which class the center node belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DS(Data Structures and Algorithms)