human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "the clique problem on inductive k independent graphs"):
  Abstract: A graph is inductive $k$-independent if there exists and ordering of its vertices $v_{1},...,v_{n}$ such that $\alpha(G[N(v_{i})\cap V_{i}])\leq k $ where $N(v_{i})$ is the neighborhood of $v_{i}$, $V_{i}=\{v_{i},...,v_{n}\}$ and $\alpha$ is the independence number. In this article, by answering to a question of [Y.Ye, A.Borodin, Elimination graphs, ACM Trans. Algorithms 8 (2) (2012) 14:1-14:23], we design a polynomial time approximation algorithm with ratio {$\overline{\Delta} \slash log(log(\overline{ \Delta}) \slash k)$ for the maximum clique and also show that the decision version of this problem is fixed parameter tractable for this particular family of graphs with complexity $O(1.2127^{(p+k-1)^{k}}n)$. Then we study a subclass of inductive $k$-independent graphs, namely $k$-degenerate graphs. A graph is $k$-degenerate if there exists an ordering of its vertices $v_{1},...,v_{n}$ such that $|N(v_{i})\cap V_{i}|\leq k $. Our contribution is an algorithm computing a maximum clique for this class of graphs in time $O(1.2127^{k}(n-k+1))$, thus improving previous best results. We also prove some structural properties for inductive $k$-independent graphs.

Includes members:
  Member "listing all maximal cliques in sparse graphs in near optimal time":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "teaser fast and certifiable point cloud registration")
  Member "an o m algorithm for cores decomposition of networks":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "fastgae fast scalable and effective graph autoencoders with stochastic subgraph decoding")
  Member "opportunity cost algorithms for combinatorial auctions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "effective wireless scheduling via hypergraph sketches")

Question: Please tell me which class the source paper 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)