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 algorithms for discrepancy minimization"
  Abstract: Given a set system (V,S), V={1,...,n} and S={S1,...,Sm}, the minimum discrepancy problem is to find a 2-coloring of V, such that each set is colored as evenly as possible. In this paper we give the first polynomial time algorithms for discrepancy minimization that achieve bounds similar to those known existentially using the so-called Entropy Method. We also give a first approximation-like result for discrepancy. The main idea in our algorithms is to produce a coloring over time by letting the color of the elements perform a random walk (with tiny increments) starting from 0 until they reach $-1$ or $+1$. At each time step the random hops for various elements are correlated using the solution to a semidefinite program, where this program is determined by the current state and the entropy method.

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 discrepancy minimization by walking on the edges"

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 discrepancy minimization by walking on the edges"

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 discrepancy minimization by walking on the edges"

Connected through hyperedge HE-4 (induced by source paper "balancing gaussian vectors in high dimension"):
  with members:
    - "on the discrepancy of random low degree set systems"
    - "reducibility and computational lower bounds for problems with planted sparse structure"
    - "near linear time approximation algorithms for optimal transport via sinkhorn iteration"
    - "deterministic discrepancy minimization via the multiplicative weight update method"
    - "number balancing is as hard as minkowski s theorem and shortest vector"
    - "constructive discrepancy minimization for convex sets"
    - "analysis of the karmarkar karp differencing algorithm"

Connected through hyperedge HE-5 (induced by source paper "linear size sparsifier and the geometry of the operator norm ball"):
  with members:
    - "an sdp based algorithm for linear sized spectral sparsification"
    - "the gram schmidt walk a cure for the banaszczyk blues"
    - "constructive discrepancy minimization for convex sets"
    - "a matrix hyperbolic cosine algorithm and applications"
    - "twice ramanujan sparsifiers"

Connected through hyperedge HE-6 (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-7 (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 discrepancy minimization by walking on the edges"

Connected through hyperedge HE-8 (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"
    - "constructive discrepancy minimization by walking on the edges"
    - "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"
    - "approximate graph coloring by semidefinite programming"

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)