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: "a new approach to incremental cycle detection and related problems"
  Abstract: We consider the problem of detecting a cycle in a directed graph that grows by arc insertions, and the related problems of maintaining a topological order and the strong components of such a graph. For these problems, we give two algorithms, one suited to sparse graphs, and the other to dense graphs. The former takes the minimum of O(m^{3/2}) and O(mn^{2/3}) time to insert m arcs into an n-vertex graph; the latter takes O(n^2 log(n)) time. Our sparse algorithm is considerably simpler than a previous O(m^{3/2})-time algorithm; it is also faster on graphs of sufficient density. The time bound of our dense algorithm beats the previously best time bound of O(n^{5/2}) for dense graphs. Our algorithms rely for their efficiency on topologically ordered vertex numberings; bounds on the size of the numbers give bound on running times.

Connected through hyperedge HE-1 (induced by source paper "an improved algorithm for incremental cycle detection and topological ordering in sparse graphs"):
  with members:
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "higher lower bounds from the 3sum conjecture"
    - "a labeling approach to incremental cycle detection"

Connected through hyperedge HE-2 (induced by source paper "an algorithmic approach to handle circulartrading in commercial taxing system"):
  with members:
    - "incremental cycle detection topological ordering and strong component maintenance"

Connected through hyperedge HE-3 (induced by source paper "on low high orders of directed graphs incremental algorithms and applications"):
  with members:
    - "incremental 2 edge connectivity in directed graphs"
    - "an experimental study of dynamic dominators"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"

Connected through hyperedge HE-4 (induced by source paper "incremental 2 edge connectivity in directed graphs"):
  with members:
    - "an experimental study of dynamic dominators"
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "2 edge connectivity in directed graphs"
    - "computing the 2 blocks of directed graphs"
    - "on computing the 2 vertex connected components of directed graphs"
    - "finding dominators via disjoint set union"
    - "incremental cycle detection topological ordering and strong component maintenance"

Connected through hyperedge HE-5 (induced by source paper "popular conjectures imply strong lower bounds for dynamic problems"):
  with members:
    - "on problems as hard as cnf sat"
    - "powers of tensors and fast matrix multiplication"
    - "3sum 3xor triangles"
    - "exact weight subgraphs and the k sum conjecture"
    - "faster all pairs shortest paths via circuit complexity"
    - "dynamic approximate all pairs shortest paths breaking the o mn barrier and derandomization"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "deterministic parameterized connected vertex cover"

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)