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: "fast algorithms for parameterized problems with relaxed disjointness constraints"
  Abstract: In parameterized complexity, it is a natural idea to consider different generalizations of classic problems. Usually, such generalization are obtained by introducing a "relaxation" variable, where the original problem corresponds to setting this variable to a constant value. For instance, the problem of packing sets of size at most $p$ into a given universe generalizes the Maximum Matching problem, which is recovered by taking $p=2$. Most often, the complexity of the problem increases with the relaxation variable, but very recently Abasi et al. have given a surprising example of a problem --- $r$-Simple $k$-Path --- that can be solved by a randomized algorithm with running time $O^*(2^{O(k \frac{\log r}{r})})$. That is, the complexity of the problem decreases with $r$. In this paper we pursue further the direction sketched by Abasi et al. Our main contribution is a derandomization tool that provides a deterministic counterpart of the main technical result of Abasi et al.: the $O^*(2^{O(k \frac{\log r}{r})})$ algorithm for $(r,k)$-Monomial Detection, which is the problem of finding a monomial of total degree $k$ and individual degrees at most $r$ in a polynomial given as an arithmetic circuit. Our technique works for a large class of circuits, and in particular it can be used to derandomize the result of Abasi et al. for $r$-Simple $k$-Path. On our way to this result we introduce the notion of representative sets for multisets, which may be of independent interest. Finally, we give two more examples of problems that were already studied in the literature, where the same relaxation phenomenon happens. The first one is a natural relaxation of the Set Packing problem, where we allow the packed sets to overlap at each element at most $r$ times. The second one is Degree Bounded Spanning Tree, where we seek for a spanning tree of the graph with a small maximum degree.

Connected through hyperedge HE-1 (induced by source paper "time and space optimal algorithms for the many visits tsp"):
  with members:
    - "maximum scatter tsp in doubling metrics"
    - "on r simple k path"

Connected through hyperedge HE-2 (induced by source paper "designing deterministic polynomial space algorithms by color coding multivariate polynomials"):
  with members:
    - "directed hamiltonicity and out branchings via generalized laplacians"
    - "spotting trees with few leaves"
    - "complexity results for rainbow matchings"
    - "representative families a unified tradeoff based approach"
    - "mixing color coding related techniques"
    - "abusing the tutte matrix an algebraic instance compression for the k set cycle problem"
    - "narrow sieves for parameterized paths and packings"
    - "determinant sums for undirected hamiltonicity"

Connected through hyperedge HE-3 (induced by source paper "directed hamiltonicity and out branchings via generalized laplacians"):
  with members:
    - "on problems as hard as cnf sat"
    - "spotting trees with few leaves"
    - "mixing color coding related techniques"
    - "faster exponential time algorithms in graphs of bounded average degree"
    - "the parity of directed hamiltonian cycles"
    - "a new direction for counting perfect matchings"
    - "below all subsets for some permutational counting problems"
    - "fast hamiltonicity checking via bases of perfect matchings"

Connected through hyperedge HE-4 (induced by source paper "tight lower bounds for the complexity of multicoloring"):
  with members:
    - "online multi coloring with advice"
    - "on r simple k path"
    - "local multicoloring algorithms computing a nearly optimal tdma schedule in constant time"

Connected through hyperedge HE-5 (induced by source paper "almost optimal cover free families"):
  with members:
    - "non adaptive learning a hidden hipergraph"
    - "linear time constructions of some d restriction problems"
    - "bounds on the rate of disjunctive codes"
    - "on r simple k path"

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)