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 "heat kernel coupling for multiple graph analysis"):
  Abstract: In this paper, we introduce heat kernel coupling (HKC) as a method of constructing multimodal spectral geometry on weighted graphs of different size without vertex-wise bijective correspondence. We show that Laplacian averaging can be derived as a limit case of HKC, and demonstrate its applications on several problems from the manifold learning and pattern recognition domain.

Includes members:
  Member "making laplacians commute":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "orthonet multilayer network data clustering")
  Member "clustering on multi layer graphs via subspace analysis on grassmann manifolds":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "learning graphs from data a signal representation perspective")
  Member "coupled quasi harmonic bases":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "operatornet recovering 3d shapes from difference operators")
  Member "multimodal diffusion geometry by joint diagonalization of laplacians":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "multi modal image retrieval with random walk on multi layer graphs")
  Member "multimodal similarity preserving hashing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "deep heterogeneous hashing for face video retrieval")
  Member "learning multi modal similarity":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "a similarity measure for material appearance")

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.CV(Computer Vision and Pattern Recognition)