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: "graph products revisited tight approximation hardness of induced matching poset dimension and more"
  Abstract: Graph product is a fundamental tool with rich applications in both graph theory and theoretical computer science. It is usually studied in the form $f(G*H)$ where $G$ and $H$ are graphs, * is a graph product and $f$ is a graph property. For example, if $f$ is the independence number and * is the disjunctive product, then the product is known to be multiplicative: $f(G*H)=f(G)f(H)$. #R##N#In this paper, we study graph products in the following non-standard form: $f((G\oplus H)*J)$ where $G$, $H$ and $J$ are graphs, $\oplus$ and * are two different graph products and $f$ is a graph property. We show that if $f$ is the induced and semi-induced matching number, then for some products $\oplus$ and *, it is subadditive in the sense that $f((G\oplus H)*J)\leq f(G*J)+f(H*J)$. Moreover, when $f$ is the poset dimension number, it is almost subadditive. #R##N#As applications of this result (we only need $J=K_2$ here), we obtain tight hardness of approximation for various problems in discrete mathematics and computer science: bipartite induced and semi-induced matching (a.k.a. maximum expanding sequences), poset dimension, maximum feasible subsystem with 0/1 coefficients, unit-demand min-buying and single-minded pricing, donation center location, boxicity, cubicity, threshold dimension and independent packing.

Connected through hyperedge HE-1 (induced by source paper "spanning trees with edge conflicts and wireless connectivity"):
  with members:
    - "wireless link capacity under shadowing and fading"
    - "the price of local power control in wireless scheduling"
    - "how well can graphs represent wireless interference"
    - "beyond geometry towards fully realistic wireless models"
    - "online independent set beyond the worst case secretaries prophets and periods"
    - "dynamic packet scheduling in wireless networks"
    - "algorithms for wireless capacity"
    - "nearly optimal bounds for distributed wireless scheduling in the sinr model"

Connected through hyperedge HE-2 (induced by source paper "weighted upper edge cover complexity and approximability"):
  with members:
    - "more results on weighted independent domination"

Connected through hyperedge HE-3 (induced by source paper "from gap eth to fpt inapproximability clique dominating set and more"):
  with members:
    - "completely inapproximable monotone and antimonotone parameterized problems"
    - "almost polynomial ratio eth hardness of approximating densest k subgraph"
    - "a birthday repetition theorem and complexity of approximating dense csps"
    - "how to refute a random csp"
    - "time approximation trade offs for inapproximable problems"
    - "eth hardness for densest k subgraph with perfect completeness"
    - "the constant inapproximability of the parameterized dominating set problem"
    - "lower bounds on the size of semidefinite programming relaxations"

Connected through hyperedge HE-4 (induced by source paper "hitting families of schedules for asynchronous programs"):
  with members:
    - "algorithmic verification of asynchronous programs"

Connected through hyperedge HE-5 (induced by source paper "sublinear approximation algorithms for boxicity and related problems"):
  with members:
    - "on feedback vertex set new measure and new structures"
    - "obtaining a planar graph by vertex deletion"
    - "computing crossing numbers in quadratic time"

Connected through hyperedge HE-6 (induced by source paper "pre reduction graph products hardnesses of properly learning dfas and approximating edp on dags"):
  with members:
    - "from average case complexity to improper learning complexity"
    - "independent set induced matching and pricing connections and tight subexponential time approximation hardnesses"
    - "a polylogarithimic approximation algorithm for edge disjoint paths with congestion 2"
    - "routing in undirected graphs with constant congestion"

Connected through hyperedge HE-7 (induced by source paper "independent set induced matching and pricing connections and tight subexponential time approximation hardnesses"):
  with members:
    - "completely inapproximable monotone and antimonotone parameterized problems"
    - "on problems as hard as cnf sat"
    - "fixed parameter and approximation algorithms a new look"
    - "graph pricing problem on bounded treewidth bounded genus and k partite graphs"
    - "subexponential and fpt time inapproximability of independent set and related problems"
    - "algorithmic pricing via virtual valuations"
    - "exponential time approximation of hard problems"
    - "minimizing flow time in the wireless gathering problem"

Connected through hyperedge HE-8 (induced by source paper "approximating the revenue maximization problem with sharp demands"):
  with members:
    - "combinatorial walrasian equilibrium"
    - "independent set induced matching and pricing connections and tight subexponential time approximation hardnesses"
    - "pricing ad slots with consecutive multi unit demand"
    - "on revenue maximization with sharp multi unit demands"

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.DM(Discrete Mathematics)