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: "the decision tree complexity for k sum is at most nearly quadratic"
  Abstract: Following a recent improvement of Cardinal et al. on the complexity of a linear decision tree for $k$-SUM, resulting in $O(n^3 \log^3{n})$ linear queries, we present a further improvement to $O(n^2 \log^2{n})$ such queries.

Connected through hyperedge HE-1 (induced by source paper "fast modular subset sum using linear sketching"):
  with members:
    - "capacitated dynamic programming faster knapsack and graph algorithms"
    - "near optimal linear decision trees for k sum and related problems"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"
    - "losing weight by gaining edges"

Connected through hyperedge HE-2 (induced by source paper "near optimal linear decision trees for k sum and related problems"):
  with members:
    - "generalized comparison trees for point location problems"
    - "active classification with comparison queries"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "clustered integer 3sum via additive combinatorics"
    - "solving k sum using few linear queries"
    - "threesomes degenerates and love triangles"
    - "higher lower bounds from the 3sum conjecture"
    - "faster all pairs shortest paths via circuit complexity"

Connected through hyperedge HE-3 (induced by source paper "twenty simple questions"):
  with members:
    - "optimal search trees with 2 way comparisons"
    - "solving k sum using few linear queries"
    - "threesomes degenerates and love triangles"
    - "twenty or so questions d ary length bounded prefix coding"

Connected through hyperedge HE-4 (induced by source paper "improved bounds for 3sum k sum and linear degeneracy"):
  with members:
    - "clustered integer 3sum via additive combinatorics"
    - "solving k sum using few linear queries"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "threesomes degenerates and love triangles"
    - "3sum hardness in dynamic data structures"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "on hardness of jumbled indexing"

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.CG(Computational Geometry)