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: "with whom do i interact detecting social interactions in egocentric photo streams"
  Abstract: Given a user wearing a low frame rate wearable camera during a day, this work aims to automatically detect the moments when the user gets engaged into a social interaction solely by reviewing the automatically captured photos by the worn camera. The proposed method, inspired by the sociological concept of F-formation, exploits distance and orientation of the appearing individuals -with respect to the user- in the scene from a bird-view perspective. As a result, the interaction pattern over the sequence can be understood as a two-dimensional time series that corresponds to the temporal evolution of the distance and orientation features over time. A Long-Short Term Memory-based Recurrent Neural Network is then trained to classify each time series. Experimental evaluation over a dataset of 30.000 images has shown promising results on the proposed method for social interaction detection in egocentric photo-streams.

Connected through hyperedge HE-1 (induced by source paper "social relation recognition in egocentric photostreams"):
  with members:
    - "person recognition in personal photo collections"
    - "batch based activity recognition from egocentric photo streams revisited"
    - "a domain based approach to social relation recognition"
    - "toward storytelling from visual lifelogging an overview"
    - "sr clustering semantic regularized clustering for egocentric photo streams segmentation"
    - "dockerface an easy to install and use faster r cnn face detector in a docker container"
    - "an overview of multi task learning in deep neural networks"
    - "deep residual learning for image recognition"

Connected through hyperedge HE-2 (induced by source paper "analyzing first person stories based on socializing eating and sedentary patterns"):
  with members:
    - "recognizing activities of daily living from egocentric images"
    - "sentiment recognition in egocentric photostreams"
    - "toward storytelling from visual lifelogging an overview"
    - "sr clustering semantic regularized clustering for egocentric photo streams segmentation"
    - "simultaneous food localization and recognition"
    - "tensorflow a system for large scale machine learning"
    - "the fast convergence of incremental pca"
    - "batch normalization accelerating deep network training by reducing internal covariate shift"

Connected through hyperedge HE-3 (induced by source paper "sr clustering semantic regularized clustering for egocentric photo streams segmentation"):
  with members:
    - "r clustering for egocentric video segmentation"
    - "toward storytelling from visual lifelogging an overview"
    - "multi face tracking by extended bag of tracklets in egocentric photo streams"
    - "compact cnn for indexing egocentric videos"
    - "predicting daily activities from egocentric images using deep learning"
    - "predicting important objects for egocentric video summarization"
    - "visual summary of egocentric photostreams by representative keyframes"
    - "seeing the big picture deep embedding with contextual evidences"

Connected through hyperedge HE-4 (induced by source paper "personrank detecting important people in images"):
  with members:
    - "ssd single shot multibox detector"
    - "human social interaction modeling using temporal deep networks"
    - "reconciling saliency and object center bias hypotheses in explaining free viewing fixations"
    - "vip finding important people in images"
    - "beyond short snippets deep networks for video classification"
    - "deep residual learning for image recognition"
    - "detecting events and key actors in multi person videos"
    - "predicting important objects for egocentric video summarization"

Connected through hyperedge HE-5 (induced by source paper "towards social pattern characterization in egocentric photo streams"):
  with members:
    - "all the people around me face discovery in egocentric photo streams"
    - "toward storytelling from visual lifelogging an overview"
    - "training deep networks for facial expression recognition with crowd sourced label distribution"
    - "multi face tracking by extended bag of tracklets in egocentric photo streams"
    - "f formation detection individuating free standing conversational groups in images"
    - "very deep convolutional networks for large scale image recognition"
    - "on the difficulty of training recurrent neural networks"

Connected through hyperedge HE-6 (induced by source paper "social style characterization from egocentric photo streams"):
  with members:
    - "towards social pattern characterization in egocentric photo streams"
    - "all the people around me face discovery in egocentric photo streams"
    - "toward storytelling from visual lifelogging an overview"
    - "sr clustering semantic regularized clustering for egocentric photo streams segmentation"
    - "training deep networks for facial expression recognition with crowd sourced label distribution"
    - "multi face tracking by extended bag of tracklets in egocentric photo streams"

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.CV(Computer Vision and Pattern Recognition)