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: "online colored bin packing"
  Abstract: In the Colored Bin Packing problem a sequence of items of sizes up to $1$ arrives to be packed into bins of unit capacity. Each item has one of $c\geq 2$ colors and an additional constraint is that we cannot pack two items of the same color next to each other in the same bin. The objective is to minimize the number of bins. #R##N#In the important special case when all items have size zero, we characterize the optimal value to be equal to color discrepancy. As our main result, we give an (asymptotically) 1.5-competitive algorithm which is optimal. In fact, the algorithm always uses at most $\lceil1.5\cdot OPT\rceil$ bins and we show a matching lower bound of $\lceil1.5\cdot OPT\rceil$ for any value of $OPT\geq 2$. In particular, the absolute ratio of our algorithm is $5/3$ and this is optimal. #R##N#For items of unrestricted sizes we give an asymptotically $3.5$-competitive algorithm. When the items have sizes at most $1/d$ for a real $d \geq 2$ the asymptotic competitive ratio is $1.5+d/(d-1)$. We also show that classical algorithms First Fit, Best Fit and Worst Fit are not constant competitive, which holds already for three colors and small items. #R##N#In the case of two colors---the Black and White Bin Packing problem---we prove that all Any Fit algorithms have absolute competitive ratio $3$. When the items have sizes at most $1/d$ for a real $d \geq 2$ we show that the Worst Fit algorithm is absolutely $(1+d/(d-1))$-competitive.

Connected through hyperedge HE-1 (induced by source paper "on colorful bin packing games"):
  with members:
    - "colorful bin packing"
    - "generalized selfish bin packing"
    - "selfish bin covering"

Connected through hyperedge HE-2 (induced by source paper "towards bin packing preliminary problem survey models with multiset estimates"):
  with members:
    - "online bin packing with advice"
    - "packing scheduling and covering problems in a game theoretic perspective"
    - "minimization strategies for maximally parallel multiset rewriting systems"
    - "bin completion algorithms for multicontainer packing knapsack and covering problems"

Connected through hyperedge HE-3 (induced by source paper "locality preserving allocations problems and coloured bin packing"):
  with members:
    - "colorful bin packing"

Connected through hyperedge HE-4 (induced by source paper "bin packing with multiple colors"):
  with members:
    - "colorful bin packing"

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)