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: "linear time constructions of some d restriction problems"
  Abstract: We give new linear time globally explicit constructions for perfect hash families, cover-free families and separating hash functions.

Connected through hyperedge HE-1 (induced by source paper "learning erd h o s r enyi random graphs via edge detecting queries"):
  with members:
    - "an introductory guide to fano s inequality with applications in statistical estimation"
    - "group testing an information theory perspective"
    - "performance of group testing algorithms with near constant tests per item"
    - "information theoretic and algorithmic thresholds for group testing"
    - "on the optimality of the kautz singleton construction in probabilistic group testing"
    - "on learning graphs with edge detecting queries"
    - "noisy non adaptive group testing a near definite defectives approach"
    - "near optimal noisy group testing via separate decoding of items"

Connected through hyperedge HE-2 (induced by source paper "adaptive exact learning of decision trees from membership queries"):
  with members:
    - "learning software constraints via installation attempts"
    - "exact learning from an honest teacher that answers membership queries"
    - "learning disjunctions of predicates"
    - "exact learning of juntas from membership queries"
    - "on exact learning monotone dnf from membership queries"

Connected through hyperedge HE-3 (induced by source paper "exact learning from an honest teacher that answers membership queries"):
  with members:
    - "exact learning of juntas from membership queries"
    - "almost optimal cover free families"
    - "progress on polynomial identity testing ii"
    - "on exact learning monotone dnf from membership queries"
    - "learning boolean halfspaces with small weights from membership queries"
    - "bounds on the rate of disjunctive codes"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "analytical approach to parallel repetition"

Connected through hyperedge HE-4 (induced by source paper "how hard is it to satisfy almost all roommates"):
  with members:
    - "stable marriage with multi modal preferences"
    - "stable marriage with groups of similar agents"
    - "balanced stable marriage how close is close enough"
    - "the stable roommates problem with short lists"
    - "stable marriage with covering constraints a complete computational trichotomy"
    - "almost optimal cover free families"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "acyclic preference systems in p2p networks"

Connected through hyperedge HE-5 (induced by source paper "exact learning of juntas from membership queries"):
  with members:
    - "derandomizing chernoff bound with union bound with an application to k wise independent sets"
    - "on exact learning monotone dnf from membership queries"

Connected through hyperedge HE-6 (induced by source paper "derandomizing chernoff bound with union bound with an application to k wise independent sets"):
  with members:
    - "almost optimal cover free families"
    - "balanced families of perfect hash functions and their applications"

Connected through hyperedge HE-7 (induced by source paper "almost optimal cover free families"):
  with members:
    - "non adaptive learning a hidden hipergraph"
    - "fast algorithms for parameterized problems with relaxed disjointness constraints"
    - "bounds on the rate of disjunctive codes"
    - "on r simple k path"

Connected through hyperedge HE-8 (induced by source paper "non adaptive learning a hidden hipergraph"):
  with members:
    - "almost optimal cover free families"
    - "on exact learning monotone dnf from membership queries"

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)