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 "on weisfeiler leman invariance subgraph counts and related graph properties"):
  Abstract: We investigate graph properties and parameters that are invariant under Weisfeiler-Leman equivalence, focussing especially on 1-dimensional Weisfeiler-Leman equivalence and on subgraph counts that are preserved. Our main results are summarized below: #R##N#-- For 1-dimensional Weisfeiler-Leman equivalence, we completely characterize graphs whose: (a) counts are determined by 1-dimensional Weisfeiler-Leman equivalence, and (b) whose presence is determined by 1-dimensional Weisfeiler-Leman equivalence. #R##N#-- Extending an old result due to Beezer and Farrell for distance-regular graphs, we show that 2-dimensional Weisfeiler-Leman equivalence preserves the first five coefficients of the matching polynomial (and no more). We determine exactly which paths and cycles have their counts determined by 2-dimensional WL-equivalence. #R##N#-- We also study a notion of "approximate invariance" of graph parameters under Weisfeiler-Leman equivalence. We show that the fractional matching number and fractional domination number are preserved by 1-dimensional Weisfeiler-Leman equivalence.

Includes members:
  Member "weisfeiler and leman go neural higher order graph neural networks":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a survey on the expressive power of graph neural networks")
  Member "homomorphisms are a good basis for counting small subgraphs":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "local wl invariance and hidden shades of regularity")
  Member "on the combinatorial power of the weisfeiler lehman algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a survey on the expressive power of graph neural networks")
  Member "graph isomorphism in quasipolynomial time":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "hypergraph isomorphism for groups with restricted composition factors")
  Member "graphs identified by logics with counting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "what graph neural networks cannot learn depth vs width")
  Member "practical graph isomorphism ii":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "hypergraph isomorphism for groups with restricted composition factors")
  Member "subgraph frequencies mapping the empirical and extremal geography of large graph collections":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "parallel algorithms for small subgraph counting")

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)