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 faster fptas for the unbounded knapsack problem"
  Abstract: The Unbounded Knapsack Problem (UKP) is a well-known variant of the famous 0-1 Knapsack Problem (0-1 KP). In contrast to 0-1 KP, an arbitrary number of copies of every item can be taken in UKP. Since UKP is NP-hard, fully polynomial time approximation schemes (FPTAS) are of great interest. Such algorithms find a solution arbitrarily close to the optimum $\mathrm{OPT}(I)$, i.e. of value at least $(1-\varepsilon) \mathrm{OPT}(I)$ for $\varepsilon > 0$, and have a running time polynomial in the input length and $\frac{1}{\varepsilon}$. For over thirty years, the best FPTAS was due to Lawler with a running time in $O(n + \frac{1}{\varepsilon^3})$ and a space complexity in $O(n + \frac{1}{\varepsilon^2})$, where $n$ is the number of knapsack items. We present an improved FPTAS with a running time in $O(n + \frac{1}{\varepsilon^2} \log^3 \frac{1}{\varepsilon})$ and a space bound in $O(n + \frac{1}{\varepsilon} \log^2 \frac{1}{\varepsilon})$. This directly improves the running time of the fastest known approximation schemes for Bin Packing and Strip Packing, which have to approximately solve UKP instances as subproblems.

Connected through hyperedge HE-1 (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 pseudopolynomial time algorithm for subset sum"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"

Connected through hyperedge HE-2 (induced by source paper "an improved fptas for 0 1 knapsack"):
  with members:
    - "on problems equivalent to min convolution"
    - "subquadratic approximation scheme for partition"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "faster all pairs shortest paths via circuit complexity"
    - "necklaces convolutions and x y"

Connected through hyperedge HE-3 (induced by source paper "a faster fptas for knapsack problem with cardinality constraint"):
  with members:
    - "curvature and optimal algorithms for learning and minimizing submodular functions"
    - "optimal source based filtering of malicious traffic"
    - "bin packing with general cost structures"
    - "submodular approximation sampling based algorithms and lower bounds"
    - "hybrid rounding techniques for knapsack problems"

Connected through hyperedge HE-4 (induced by source paper "an fptas for stochastic unbounded min knapsack problem"):
  with members:
    - "a fully polynomial time approximation scheme for approximating a sum of random variables"
    - "stochastic combinatorial optimization via poisson approximation"
    - "approximation algorithms for correlated knapsacks and non martingale bandits"

Connected through hyperedge HE-5 (induced by source paper "linear time algorithms for multiple cluster scheduling and multiple strip packing"):
  with members:
    - "on integer programming and convolution"
    - "closing the gap for pseudo polynomial strip packing"

Connected through hyperedge HE-6 (induced by source paper "fully dynamic bin packing revisited"):
  with members:
    - "a new and improved algorithm for online bin packing"
    - "online strip packing with polynomial migration"
    - "fully dynamic bin packing with limited repacking"
    - "a tight approximation for fully dynamic bin packing without bundling"
    - "beating the harmonic lower bound for online bin packing"
    - "a robust afptas for online bin packing with polynomial migration"

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)