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: "constructive discrepancy minimization by walking on the edges"
  Abstract: Minimizing the discrepancy of a set system is a fundamental problem in combinatorics. One of the cornerstones in this area is the celebrated six standard deviations result of Spencer (AMS 1985): In any system of n sets in a universe of size n, there always exists a coloring which achieves discrepancy 6\sqrt{n}. The original proof of Spencer was existential in nature, and did not give an efficient algorithm to find such a coloring. Recently, a breakthrough work of Bansal (FOCS 2010) gave an efficient algorithm which finds such a coloring. His algorithm was based on an SDP relaxation of the discrepancy problem and a clever rounding procedure. In this work we give a new randomized algorithm to find a coloring as in Spencer's result based on a restricted random walk we call "Edge-Walk". Our algorithm and its analysis use only basic linear algebra and is "truly" constructive in that it does not appeal to the existential arguments, giving a new proof of Spencer's theorem and the partial coloring lemma.

Connected through hyperedge HE-1 (induced by source paper "generalised pattern matching revisited"):
  with members:
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "constructive discrepancy minimization with hereditary l2 guarantees"
    - "algorithmic discrepancy beyond partial coloring"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "constructive algorithms for discrepancy minimization"

Connected through hyperedge HE-2 (induced by source paper "online vector balancing and geometric discrepancy"):
  with members:
    - "on line balancing of random inputs"
    - "online geometric discrepancy for stochastic arrivals with applications to envy minimization"
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "algorithmic discrepancy beyond partial coloring"
    - "deterministic discrepancy minimization via the multiplicative weight update method"
    - "efficient algorithms for discrepancy minimization in convex sets"
    - "constructive discrepancy minimization for convex sets"
    - "constructive algorithms for discrepancy minimization"

Connected through hyperedge HE-3 (induced by source paper "online geometric discrepancy for stochastic arrivals with applications to envy minimization"):
  with members:
    - "on line balancing of random inputs"
    - "on the discrepancy of random low degree set systems"
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "algorithmic discrepancy beyond partial coloring"
    - "deterministic discrepancy minimization via the multiplicative weight update method"
    - "efficient algorithms for discrepancy minimization in convex sets"
    - "fair assignment of indivisible objects under ordinal preferences"
    - "constructive algorithms for discrepancy minimization"

Connected through hyperedge HE-4 (induced by source paper "spherical discrepancy minimization and algorithmic lower bounds for covering the sphere"):
  with members:
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "algorithmic discrepancy beyond partial coloring"
    - "deterministic discrepancy minimization via the multiplicative weight update method"
    - "spherical coverage verification"

Connected through hyperedge HE-5 (induced by source paper "on integer programming discrepancy and convolution"):
  with members:
    - "on problems equivalent to min convolution"
    - "on integer programming and convolution"
    - "tight complexity lower bounds for integer linear programming with few constraints"
    - "capacitated dynamic programming faster knapsack and graph algorithms"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "on the optimality of pseudo polynomial algorithms for integer programming"
    - "closing the gap for makespan scheduling via sparsification techniques"

Connected through hyperedge HE-6 (induced by source paper "on a generalization of iterated and randomized rounding"):
  with members:
    - "a constant factor approximation algorithm for the asymmetric traveling salesman problem"
    - "algorithmic discrepancy beyond partial coloring"
    - "approximation friendly discrepancy rounding"
    - "effective resistance reducing flows spectrally thin trees and asymmetric tsp"
    - "pipage rounding pessimistic estimators and matrix concentration"
    - "entropy optimization and counting"
    - "constructive algorithms for discrepancy minimization"

Connected through hyperedge HE-7 (induced by source paper "sticky brownian rounding and its applications to constraint satisfaction problems"):
  with members:
    - "krivine diffusions attain the goemans williamson approximation ratio"
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "better balance by being biased a 0 8776 approximation for max bisection"
    - "rounding semidefinite programming hierarchies via global correlation"
    - "approximating csps with global cardinality constraints using sdp hierarchies"
    - "constructive algorithms for discrepancy minimization"
    - "approximate graph coloring by semidefinite programming"

Connected through hyperedge HE-8 (induced by source paper "algorithms to approximate column sparse packing problems"):
  with members:
    - "attenuate locally win globally an attenuation based framework for online stochastic matching with timeouts"
    - "random order contention resolution schemes"
    - "adaptivity gaps for stochastic probing submodular and xos functions"
    - "improved algorithmic bounds for discrepancy of sparse set systems"
    - "deterministic discrepancy minimization via the multiplicative weight update method"
    - "constrained submodular maximization via a non symmetric technique"
    - "constrained submodular maximization beyond 1 e"
    - "non negative submodular stochastic probing via stochastic contention resolution schemes"

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)