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 balanced subgraph problem parameterized above lower bound"
  Abstract: We consider graphs without loops or parallel edges in which every edge is assigned + or -. Such a signed graph is balanced if its vertex set can be partitioned into parts $V_1$ and $V_2$ such that all edges between vertices in the same part have sign + and all edges between vertices of different parts have sign $-$ (one of the parts may be empty). It is well-known that every connected signed graph with $n$ vertices and $m$ edges has a balanced subgraph with at least $\frac{m}{2} + \frac{n-1}{4}$ edges and this bound is tight. We consider the following parameterized problem: given a connected signed graph $G$ with $n$ vertices and $m$ edges, decide whether $G$ has a balanced subgraph with at least $\frac{m}{2} + \frac{n-1}{4}+\frac{k}{4}$ edges, where $k$ is the parameter. #R##N#We obtain an algorithm for the problem of runtime $8^k(kn)^{O(1)}$. We also prove that for each instance $(G,k)$ of the problem, in polynomial time, we can either solve $(G,k)$ or produce an equivalent instance $(G',k')$ such that $k'\le k$ and $|V(G')|=O(k^3)$. Our first result generalizes a result of Crowston, Jones and Mnich (ICALP 2012) on the corresponding parameterization of Max Cut (when every edge of $G$ has sign $-$). Our second result generalizes and significantly improves the corresponding result of Crowston, Jones and Mnich: they showed that $|V(G')|=O(k^5)$.

Connected through hyperedge HE-1 (induced by source paper "finding large balanced subgraphs in signed networks"):
  with members:
    - "discovering polarized communities in signed networks"
    - "reducing controversy by connecting opposing views"
    - "a survey of signed network mining in social media"
    - "controversy and sentiment in online news"

Connected through hyperedge HE-2 (induced by source paper "engineering kernelization for maximum cut"):
  with members:
    - "scalable kernelization for maximum independent sets"
    - "scalable generation of scale free graphs"
    - "finding near optimal independent sets at scale"
    - "improved kernels for signed max cut parameterized above lower bound on r l graphs"

Connected through hyperedge HE-3 (induced by source paper "the balanced connected subgraph problem"):
  with members:
    - "the graph motif problem parameterized by the structure of the input graph"
    - "balanced partitions of 3 colored geometric sets in the plane"
    - "solving the maximum weight connected subgraph problem to optimality"

Connected through hyperedge HE-4 (induced by source paper "balanced judicious partition is fixed parameter tractable"):
  with members:
    - "parameterized algorithms for load coloring problem"
    - "designing fpt algorithms for cut problems using randomized contractions"
    - "fixed parameter tractability of multicut parameterized by the size of the cutset"
    - "note on maximal bisection above tight lower bound"

Connected through hyperedge HE-5 (induced by source paper "max cut parameterized above the edwards erd h o s bound"):
  with members:
    - "improved parameterized algorithms for constraint satisfaction"
    - "note on maximal bisection above tight lower bound"

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)