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 "fast 3d indoor scene synthesis with discrete and exact layout pattern extraction"):
  Abstract: We present a fast framework for indoor scene synthesis, given a room geometry and a list of objects with learnt priors. Unlike existing data-driven solutions, which often extract priors by co-occurrence analysis and statistical model fitting, our method measures the strengths of spatial relations by tests for complete spatial randomness (CSR), and extracts complex priors based on samples with the ability to accurately represent discrete layout patterns. With the extracted priors, our method achieves both acceleration and plausibility by partitioning input objects into disjoint groups, followed by layout optimization based on the Hausdorff metric. Extensive experiments show that our framework is capable of measuring more reasonable relations among objects and simultaneously generating varied arrangements in seconds.

Includes members:
  Member "structured3d a large photo realistic dataset for structured 3d modeling":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "scan2plan efficient floorplan generation from 3d scans of indoor scenes")
  Member "fast and scalable position based layout synthesis":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "style compatible object recommendation for multi room indoor scene synthesis")
  Member "interiornet mega scale multi sensor photo realistic indoor scenes dataset":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "lighthouse predicting lighting volumes for spatially coherent illumination")
  Member "grains generative recursive autoencoders for indoor scenes":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "structurenet hierarchical graph networks for 3d shape generation")
  Member "human centric indoor scene synthesis using stochastic grammar":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "style compatible object recommendation for multi room indoor scene synthesis")
  Member "fast and flexible indoor scene synthesis via deep convolutional generative models":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "house gan relational generative adversarial networks for graph constrained house layout generation")
  Member "scan2cad learning cad model alignment in rgb d scans":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "imvotenet boosting 3d object detection in point clouds with image votes")
  Member "automatic generation of constrained furniture layouts":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "fast and flexible indoor scene synthesis via deep convolutional generative models")

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.GR(Graphics)