human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "parameterized and approximation complexity of partial vc dimension"):
  Abstract: We introduce the problem Partial VC Dimension that asks, given a hypergraph $H=(X,E)$ and integers $k$ and $\ell$, whether one can select a set $C\subseteq X$ of $k$ vertices of $H$ such that the set $\{e\cap C, e\in E\}$ of distinct hyperedge-intersections with $C$ has size at least $\ell$. The sets $e\cap C$ define equivalence classes over $E$. Partial VC Dimension is a generalization of VC Dimension, which corresponds to the case $\ell=2^k$, and of Distinguishing Transversal, which corresponds to the case $\ell=|E|$ (the latter is also known as Test Cover in the dual hypergraph). We also introduce the associated fixed-cardinality maximization problem Max Partial VC Dimension that aims at maximizing the number of equivalence classes induced by a solution set of $k$ vertices. We study the algorithmic complexity of Partial VC Dimension and Max Partial VC Dimension both on general hypergraphs and on more restricted instances, in particular, neighborhood hypergraphs of graphs.

Includes members:
  Member "inapproximability of vc dimension and littlestone s dimension":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a tight analysis of greedy yields subexponential time approximation for uniform decision tree")
  Member "identification location domination and metric dimension on interval and permutation graphs i bounds":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "the fault tolerant metric dimension of cographs")
  Member "identification location domination and metric dimension on interval and permutation graphs ii algorithms and complexity":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "alternative parameterizations of metric dimension")
  Member "on the approximability of partial vc dimension":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "inapproximability of vc dimension and littlestone s dimension")
  Member "identifying codes in hereditary classes of graphs and vc dimension":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "diameter computation on h minor free graphs and graphs of bounded distance vc dimension")
  Member "hitting set for hypergraphs of low vc dimension":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "tight bounds for planar strongly connected steiner subgraph with fixed number of terminals and extensions")
  Member "parameterized approximability of maximizing the spread of influence in networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "parameterized approximation schemes for independent set of rectangles and geometric knapsack")
  Member "parameterizations of test cover with bounded test sizes":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "fixed parameter tractable algorithms for tracking shortest paths")

Question: Please tell me which class the source paper 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)