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: "on problems equivalent to min convolution"
  Abstract: In recent years, significant progress has been made in explaining the apparent hardness of improving upon the naive solutions for many fundamental polynomially solvable problems. This progress has come in the form of conditional lower bounds—reductions from a problem assumed to be hard. The hard problems include 3SUM, All-Pairs Shortest Path, SAT, Orthogonal Vectors, and others.#R##N##R##N#In the (min ,+)-convolution problem, the goal is to compute a sequence (c[i])n-1i=0, where c[k] = mini=0,…; ,k { a[i] + b[k-i]}, given sequences (a[i])n-1i=0 and (b[i])n-1i=0. This can easily be done in O(n2) time, but no O(n2-e) algorithm is known for e > 0. In this article, we undertake a systematic study of the (min ,+)-convolution problem as a hardness assumption.#R##N##R##N#First, we establish the equivalence of this problem to a group of other problems, including variants of the classic knapsack problem and problems related to subadditive sequences. The (min ,+)-convolution problem has been used as a building block in algorithms for many problems, notably problems in stringology. It has also appeared as an ad hoc hardness assumption. Second, we investigate some of these connections and provide new reductions and other results. We also explain why replacing this assumption with the Strong Exponential Time Hypothesis might not be possible for some problems.

Connected through hyperedge HE-1 (induced by source paper "on the fine grained complexity of parity problems"):
  with members:
    - "subcubic equivalences between graph centrality measures and complementary problems"
    - "approximating subset sum is equivalent to min plus convolution"
    - "a subquadratic algorithm for 3xor"
    - "fine grained reductions from approximate counting to decision"
    - "fine grained i o complexity via reductions new lower bounds faster algorithms and a time hierarchy"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "tight hardness results for maximum weight rectangles"
    - "on problems as hard as cnf sat"

Connected through hyperedge HE-2 (induced by source paper "faster minimization of tardy processing newline time on a single machine"):
  with members:
    - "seth based lower bounds for subset sum and bicriteria path"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "a faster pseudopolynomial time algorithm for subset sum"

Connected through hyperedge HE-3 (induced by source paper "approximating subset sum is equivalent to min plus convolution"):
  with members:
    - "an improved fptas for 0 1 knapsack"
    - "approximating apsp without scaling equivalence of approximate min plus and exact min max"
    - "subquadratic approximation scheme for partition"
    - "fast algorithms for knapsack via convolution and prediction"
    - "an equivalence class for orthogonal vectors"
    - "on integer programming and convolution"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "a simple near linear pseudopolynomial time randomized algorithm for subset sum"

Connected through hyperedge HE-4 (induced by source paper "approximating apsp without scaling equivalence of approximate min plus and exact min max"):
  with members:
    - "subquadratic approximation scheme for partition"
    - "hardness of approximate nearest neighbor search"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "distributed pcp theorems for hardness of approximation in p"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "a fast numerical method for max convolution and the application to efficient max product inference in bayesian networks"

Connected through hyperedge HE-5 (induced by source paper "an improved fptas for 0 1 knapsack"):
  with members:
    - "subquadratic approximation scheme for partition"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "a faster fptas for the unbounded knapsack problem"
    - "faster all pairs shortest paths via circuit complexity"
    - "necklaces convolutions and x y"

Connected through hyperedge HE-6 (induced by source paper "smallest k enclosing rectangle revisited"):
  with members:
    - "tight hardness results for maximum weight rectangles"
    - "covering many points with a small area box"
    - "clustered integer 3sum via additive combinatorics"
    - "faster all pairs shortest paths via circuit complexity"

Connected through hyperedge HE-7 (induced by source paper "fine grained complexity meets ip pspace"):
  with members:
    - "hardness of approximate nearest neighbor search"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "tighter connections between formula sat and shaving logs"
    - "conditional lower bounds for all pairs max flow"
    - "conditional lower bounds for space time tradeoffs"
    - "conditional hardness for sensitivity problems"
    - "on the parameterized complexity of approximating dominating set"
    - "on the complexity of closest pair via polar pair of point sets"

Connected through hyperedge HE-8 (induced by source paper "an equivalence class for orthogonal vectors"):
  with members:
    - "more consequences of falsifying seth and the orthogonal vectors conjecture"
    - "hardness of approximate nearest neighbor search"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "tight hardness for shortest cycles and paths in sparse graphs"
    - "tight hardness results for maximum weight rectangles"
    - "on the complexity of inner product similarity join"
    - "polynomial representations of threshold functions and algorithmic applications"
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"

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)