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 "time series featurization via topological data analysis"):
  Abstract: We develop a novel algorithm for feature extraction in time series data by leveraging tools from topological data analysis. Our algorithm provides a simple, efficient way to successfully harness topological features of the attractor of the underlying dynamical system for an observed time series. The proposed methodology relies on the persistent landscapes and silhouette of the Rips complex obtained after a de-noising step based on principal components applied to a time-delayed embedding of a noisy, discrete time series sample. We analyze the stability properties of the proposed approach and show that the resulting TDA-based features are robust to sampling noise. Experiments on synthetic and real-world data demonstrate the effectiveness of our approach. We expect our method to provide new insights on feature extraction from granular, noisy time series data.

Includes members:
  Member "deep learning for time series classification a review":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "identity recognition in intelligent cars with behavioral data and lstm resnet classifier")
  Member "on characterizing the capacity of neural networks using algebraic topology":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "geometry and topology of deep neural networks decision boundaries")
  Member "a short survey of topological data analysis in time series and systems analysis":
    also connected through other hyperedges:
      (none)
  Member "quasi periodicity quantification in video data using topology":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "pi net a deep learning approach to extract topological persistence images")
  Member "persistent homology of attractors for action recognition":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "efficient topological layer based on persistent landscapes")
  Member "introduction to the r package tda":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "efficient topological layer based on persistent landscapes")
  Member "an introductory study on time series modeling and forecasting":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "towards better forecasting by fusing near and distant future visions")
  Member "towards persistence based reconstruction in euclidean spaces":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "an efficient data retrieval parallel reeb graph algorithm")

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.CG(Computational Geometry)