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: "edit distance cannot be computed in strongly subquadratic time unless seth is false"
  Abstract: The edit distance (a.k.a. the Levenshtein distance) between two strings is defined as the minimum number of insertions, deletions or substitutions of symbols needed to transform one string into another. The problem of computing the edit distance between two strings is a classical computational task, with a well-known algorithm based on dynamic programming. Unfortunately, all known algorithms for this problem run in nearly quadratic time. #R##N#In this paper we provide evidence that the near-quadratic running time bounds known for the problem of computing edit distance might be tight. Specifically, we show that, if the edit distance can be computed in time $O(n^{2-\delta})$ for some constant $\delta>0$, then the satisfiability of conjunctive normal form formulas with $N$ variables and $M$ clauses can be solved in time $M^{O(1)} 2^{(1-\epsilon)N}$ for a constant $\epsilon>0$. The latter result would violate the Strong Exponential Time Hypothesis, which postulates that such algorithms do not exist.

Connected through hyperedge HE-1 (induced by source paper "streaming with oracle new streaming algorithms for edit distance and lcs"):
  with members:
    - "approximating lcs in linear time beating the sqrt n barrier"
    - "dynamic time warping in strongly subquadratic time algorithms for the low distance regime and approximate evaluation"
    - "sublinear algorithms for gap edit distance"
    - "reducing approximate longest common subsequence to approximate edit distance"
    - "constant factor approximation of near linear edit distance in near linear time"
    - "constant factor approximations to edit distance on far input pairs in nearly linear time"
    - "approximating edit distance within constant factor in truly sub quadratic time"
    - "on estimating edit distance alignment dimension reduction and embeddings"

Connected through hyperedge HE-2 (induced by source paper "graphs cannot be indexed in polynomial time for sub quadratic time string matching unless seth fails"):
  with members:
    - "regular languages meet prefix sorting"
    - "on prefix sorting finite automata"
    - "on the hardness and inapproximability of recognizing wheeler graphs"
    - "on the hardness of set disjointness and set intersection with bounded universe"
    - "lower bounds for text indexing with mismatches and differences"
    - "indexing variation graphs"
    - "distributed pcp theorems for hardness of approximation in p"
    - "improving viterbi is hard better runtimes imply faster clique algorithms"

Connected through hyperedge HE-3 (induced by source paper "space efficient deterministic approximation of string measures"):
  with members:
    - "streaming with oracle new streaming algorithms for edit distance and lcs"
    - "approximating lcs in linear time beating the sqrt n barrier"
    - "constant factor approximation of near linear edit distance in near linear time"
    - "constant factor approximations to edit distance on far input pairs in nearly linear time"
    - "space efficient algorithms for longest increasing subsequence"
    - "the 2cnf boolean formula satisfiability problem and the linear space hypothesis"
    - "edit distance sketching streaming and document exchange"
    - "space efficient streaming algorithms for the distance to monotonicity and asymmetric edit distance"

Connected through hyperedge HE-4 (induced by source paper "approximating lcs in linear time beating the sqrt n barrier"):
  with members:
    - "approximating edit distance within constant factor in truly sub quadratic time"
    - "approximating edit distance in truly subquadratic time quantum and mapreduce"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "new tabulation and sparse dynamic programming based techniques for sequence similarity problems"
    - "approximating edit distance in near linear time"
    - "polylogarithmic approximation for edit distance and the asymmetric query complexity"
    - "fast and compact regular expression matching"

Connected through hyperedge HE-5 (induced by source paper "edit distance embedding using convolutional neural networks"):
  with members:
    - "in defense of the triplet loss for person re identification"
    - "embedjoin efficient edit similarity joins via embeddings"
    - "efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs"
    - "practical and optimal lsh for angular distance"
    - "hashing for similarity search a survey"
    - "pass join a partition based method for similarity joins"

Connected through hyperedge HE-6 (induced by source paper "dynamic time warping in strongly subquadratic time algorithms for the low distance regime and approximate evaluation"):
  with members:
    - "the one way communication complexity of dynamic time warping distance"
    - "approximating edit distance within constant factor in truly sub quadratic time"
    - "on estimating edit distance alignment dimension reduction and embeddings"
    - "locality sensitive hashing of curves"
    - "products of euclidean metrics and applications to proximity questions among curves"
    - "streaming algorithms for computing edit distance without exploiting suffix trees"
    - "dynamic time warping and geometric edit distance breaking the quadratic barrier"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"

Connected through hyperedge HE-7 (induced by source paper "near linear time insertion deletion codes and 1 e approximating edit distance via indexing"):
  with members:
    - "approximating edit distance within constant factor in truly sub quadratic time"
    - "multivariate fine grained complexity of longest common subsequence"
    - "approximating edit distance in truly subquadratic time quantum and mapreduce"
    - "synchronization strings list decoding for insertions and deletions"
    - "synchronization strings channel simulations and interactive coding for insertions and deletions"
    - "synchronization strings explicit constructions local decoding and applications"
    - "synchronization strings efficient and fast deterministic constructions over small alphabets"
    - "synchronization strings codes for insertions and deletions approaching the singleton bound"

Connected through hyperedge HE-8 (induced by source paper "on problems equivalent to min convolution"):
  with members:
    - "how hard is it to find honest witnesses"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "on problems as hard as cnf sat"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "clustered integer 3sum via additive combinatorics"
    - "a faster fptas for the unbounded knapsack problem"
    - "a faster pseudopolynomial time algorithm for subset sum"

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.CC(Computational Complexity)