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: "pattern matching under polynomial transformation"
  Abstract: We consider a class of pattern matching problems where a normalising transformation is applied at every alignment. Normalised pattern matching plays a key role in fields as diverse as image processing and musical information processing where application specific transformations are often applied to the input. By considering the class of polynomial transformations of the input, we provide fast algorithms and the first lower bounds for both new and old problems. Given a pattern of length m and a longer text of length n where both are assumed to contain integer values only, we first show O(n log m) time algorithms for pattern matching under linear transformations even when wildcard symbols can occur in the input. We then show how to extend the technique to polynomial transformations of arbitrary degree. Next we consider the problem of finding the minimum Hamming distance under polynomial transformation. We show that, for any epsilon>0, there cannot exist an O(n m^(1-epsilon)) time algorithm for additive and linear transformations conditional on the hardness of the classic 3SUM problem. Finally, we consider a version of the Hamming distance problem under additive transformations with a bound k on the maximum distance that need be reported. We give a deterministic O(nk log k) time solution which we then improve by careful use of randomisation to O(n sqrt(k log k) log n) time for sufficiently small k. Our randomised solution outputs the correct answer at every position with high probability.

Connected through hyperedge HE-1 (induced by source paper "data structures meet cryptography 3sum with preprocessing"):
  with members:
    - "the strong 3sum indexing conjecture is false"
    - "equivalence of systematic linear data structures and matrix rigidity"
    - "lower bounds for oblivious data structures"
    - "static data structure lower bounds imply rigidity"
    - "how hard is it to find honest witnesses"
    - "conditional lower bounds for space time tradeoffs"
    - "orthogonal vectors indexing"
    - "clustered integer 3sum via additive combinatorics"

Connected through hyperedge HE-2 (induced by source paper "3sum with preprocessing algorithms lower bounds and cryptographic applications"):
  with members:
    - "encoding 3sum"
    - "static data structure lower bounds imply rigidity"
    - "near optimal linear decision trees for k sum and related problems"
    - "conditional lower bounds for space time tradeoffs"
    - "orthogonal vectors indexing"
    - "clustered integer 3sum via additive combinatorics"
    - "threesomes degenerates and love triangles"
    - "on hardness of jumbled indexing"

Connected through hyperedge HE-3 (induced by source paper "seth based lower bounds for subset sum and bicriteria path"):
  with members:
    - "on the fine grained complexity of empirical risk minimization kernel methods and neural networks"
    - "a short note on merlin arthur protocols for subset sum"
    - "parameterizing pwm and profile matching and knapsack by the feasible weight solutions count"
    - "subquadratic algorithms for algebraic generalizations of 3sum"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "a dichotomy for regular expression membership testing"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "clustered integer 3sum via additive combinatorics"

Connected through hyperedge HE-4 (induced by source paper "improved bounds for 3sum k sum and linear degeneracy"):
  with members:
    - "the decision tree complexity for k sum is at most nearly quadratic"
    - "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"

Connected through hyperedge HE-5 (induced by source paper "threesomes degenerates and love triangles"):
  with members:
    - "near optimal linear decision trees for k sum and related problems"
    - "connectivity oracles for graphs subject to vertex failures"
    - "subquadratic algorithms for algebraic generalizations of 3sum"
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "clustered integer 3sum via additive combinatorics"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"

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)