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: "maximum weight independent set in lclaw free graphs in polynomial time"
  Abstract: The Maximum Weight Independent Set (MWIS) problem is a well-known NP-hard problem. For graphs $G_1, G_2$, $G_1+G_2$ denotes the disjoint union of $G_1$ and $G_2$, and for a constant $l \ge 2$, $lG$ denotes the disjoint union of $l$ copies of $G$. A {\em claw} has vertices $a,b,c,d$, and edges $ab,ac,ad$. MWIS can be solved for claw-free graphs in polynomial time; the first two polynomial time algorithms were introduced in 1980 by \cite{Minty1980,Sbihi1980}, then revisited by \cite{NakTam2001}, and recently improved by \cite{FaeOriSta2011,FaeOriSta2014}, and by \cite{NobSas2011,NobSas2015} with the best known time bound in \cite{NobSas2015}. Furthermore MWIS can be solved for the following extensions of claw-free graphs in polynomial time: fork-free graphs \cite{LozMil2008}, $K_2$+claw-free graphs \cite{LozMos2005}, and apple-free graphs \cite{BraLozMos2010,BraKleLozMos2008}. #R##N#This manuscript shows that for any constant $l$, MWIS can be solved for $l$claw-free graphs in polynomial time. Our approach is based on Farber's approach showing that every $2K_2$-free graph has ${\cal O}(n^2)$ maximal independent sets \cite{Farbe1989}, which directly leads to a polynomial time algorithm for MWIS on $2K_2$-free graphs by dynamic programming. #R##N#Solving MWIS for $l$claw-free graphs in polynomial time extends known results for claw-free graphs, for $lK_2$-free graphs for any constant $l$ \cite{Aleks1991,FarHujTuz1993,Prisn1995,TsuIdeAriShi1977}, for $K_2$+claw-free graphs, for $2P_3$-free graphs \cite{LozMos2012}, and solves the open questions for $2K_2+P_3$-free graphs and for $P_3$+claw-free graphs being two of the minimal graph classes, defined by forbidding one induced subgraph, for which the complexity of MWIS was an open problem.

Connected through hyperedge HE-1 (induced by source paper "simple games versus weighted voting games"):
  with members:
    - "computing the nucleolus of weighted cooperative matching games in polynomial time"
    - "on critical threshold value for simple games"
    - "on the construction of high dimensional simple games"

Connected through hyperedge HE-2 (induced by source paper "connected vertex cover for sp_1 p_5 free graphs"):
  with members:
    - "contracting to a longest path in h free graphs"
    - "minimum connected transversals in graphs new hardness results and tractable cases using the price of connectivity"
    - "polynomial time algorithm for maximum weight independent set on p_6 free graphs"
    - "independent feedback vertex set for p_5 free graphs"
    - "contracting bipartite graphs to paths and cycles"
    - "the price of connectivity for vertex cover"

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)