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: "editing to eulerian graphs"
  Abstract: We investigate the problem of modifying a graph into a connected graph in which the degree of each vertex satisfies a prescribed parity constraint. Let $ea$, $ed$ and $vd$ denote the operations edge addition, edge deletion and vertex deletion respectively. For any $S\subseteq \{ea,ed,vd\}$, we define Connected Degree Parity Editing$(S)$ (CDPE($S$)) to be the problem that takes as input a graph $G$, an integer $k$ and a function $\delta\colon V(G)\rightarrow\{0,1\}$, and asks whether $G$ can be modified into a connected graph $H$ with $d_{H}(v)\equiv\delta(v)~(\bmod~2)$ for each $v\in V(H)$, using at most $k$ operations from $S$. We prove that #R##N#1. if $S=\{ea\}$ or $S=\{ea,ed\}$, then CDPE($S$) can be solved in polynomial time; #R##N#2. if $\{vd\} \subseteq S\subseteq \{ea,ed,vd\}$, then CDPE($S$) is NP-complete and W[1]-hard when parameterized by $k$, even if $\delta\equiv 0$. #R##N#Together with known results by Cai and Yang and by Cygan, Marx, Pilipczuk, Pilipczuk and Schlotter, our results completely classify the classical and parameterized complexity of the CDPE($S$) problem for all $S\subseteq \{ea,ed,vd\}$. We obtain the same classification for a natural variant of the CDPE($S$) problem on directed graphs, where the target is a weakly connected digraph in which the difference between the in- and out-degree of every vertex equals a prescribed value. As an important implication of our results, we obtain polynomial-time algorithms for the Eulerian Editing problem and its directed variant.

Connected through hyperedge HE-1 (induced by source paper "graph editing to a given degree sequence"):
  with members:
    - "editing to a planar graph of given degrees"
    - "win win kernelization for degree sequence completion problems"
    - "editing to a connected graph of given degrees"
    - "editing to a graph of given degrees"
    - "kernelization lower bounds by cross composition"

Connected through hyperedge HE-2 (induced by source paper "editing to a planar graph of given degrees"):
  with members:
    - "graph editing problems with extended regularity constraints"
    - "win win kernelization for degree sequence completion problems"
    - "a linear kernel for planar red blue dominating set"
    - "editing to a connected graph of given degrees"
    - "explicit linear kernels via dynamic programming"
    - "editing to a graph of given degrees"
    - "linear kernels and single exponential algorithms via protrusion decompositions"

Connected through hyperedge HE-3 (induced by source paper "finding even subgraphs even faster"):
  with members:
    - "deterministic truncation of linear matroids"
    - "long circuits and large euler subgraphs"
    - "efficient computation of representative sets with applications in parameterized and exact algorithms"
    - "representative sets and irrelevant vertices new tools for kernelization"

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)