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: "generative adversarial talking head bringing portraits to life with a weakly supervised neural network"
  Abstract: This paper presents Generative Adversarial Talking Head (GATH), a novel deep generative neural network that enables fully automatic facial expression synthesis of an arbitrary portrait with continuous action unit (AU) coefficients. Specifically, our model directly manipulates image pixels to make the unseen subject in the still photo express various emotions controlled by values of facial AU coefficients, while maintaining her personal characteristics, such as facial geometry, skin color and hair style, as well as the original surrounding background. In contrast to prior work, GATH is purely data-driven and it requires neither a statistical face model nor image processing tricks to enact facial deformations. Additionally, our model is trained from unpaired data, where the input image, with its auxiliary identity label taken from abundance of still photos in the wild, and the target frame are from different persons. In order to effectively learn such model, we propose a novel weakly supervised adversarial learning framework that consists of a generator, a discriminator, a classifier and an action unit estimator. Our work gives rise to template-and-target-free expression editing, where still faces can be effortlessly animated with arbitrary AU coefficients provided by the user.

Connected through hyperedge HE-1 (induced by source paper "celeb df a large scale challenging dataset for deepfake forensics"):
  with members:
    - "deferred neural rendering image synthesis using neural textures"
    - "multi task learning for detecting and segmenting manipulated facial images and videos"
    - "faceforensics learning to detect manipulated facial images"
    - "the deepfake detection challenge dfdc preview dataset"
    - "hybrid lstm and encoder decoder architecture for detection of image forgeries"
    - "use of a capsule network to detect fake images and videos"
    - "learning rich features for image manipulation detection"
    - "mesonet a compact facial video forgery detection network"

Connected through hyperedge HE-2 (induced by source paper "everybody s talkin let me talk as you want"):
  with members:
    - "transgaga geometry aware unsupervised image to image translation"
    - "example guided style consistent image synthesis from semantic labeling"
    - "disentangling content and style via unsupervised geometry distillation"
    - "neural style preserving visual dubbing"
    - "make a face towards arbitrary high fidelity face manipulation"
    - "geometry aware face completion and editing"
    - "high resolution talking face generation via mutual information approximation"
    - "lip movements generation at a glance"

Connected through hyperedge HE-3 (induced by source paper "moglow probabilistic and controllable motion synthesis using normalising flows"):
  with members:
    - "realistic speech driven facial animation with gans"
    - "analyzing input and output representations for speech driven gesture generation"
    - "generating diverse high fidelity images with vq vae 2"
    - "fixup initialization residual learning without normalization"
    - "videoflow a flow based generative model for video"
    - "waveglow a flow based generative network for speech synthesis"
    - "quaternet a quaternion based recurrent model for human motion"
    - "flowavenet a generative flow for raw audio"

Connected through hyperedge HE-4 (induced by source paper "realistic speech driven facial animation with gans"):
  with members:
    - "face alignment in full pose range a 3d total solution"
    - "lip movements generation at a glance"
    - "talking face generation by adversarially disentangled audio visual representation"
    - "visemenet audio driven animator centric speech animation"
    - "ganimation anatomically aware facial animation from a single image"
    - "in ictu oculi exposing ai generated fake face videos by detecting eye blinking"
    - "video generation from text"
    - "lipnet end to end sentence level lipreading"

Connected through hyperedge HE-5 (induced by source paper "flnet landmark driven fetching and learning network for faithful talking facial animation synthesis"):
  with members:
    - "few shot adversarial learning of realistic neural talking head models"
    - "video to video synthesis"
    - "soft gated warping gan for pose guided person image synthesis"
    - "recycle gan unsupervised video retargeting"
    - "look across elapse disentangled representation learning and photorealistic cross age face synthesis for age invariant face recognition"
    - "faceforensics a large scale video dataset for forgery detection in human faces"
    - "spectral normalization for generative adversarial networks"
    - "ganimation anatomically aware facial animation from a single image"

Connected through hyperedge HE-6 (induced by source paper "data augmentation for low resource sentiment analysis using generative adversarial networks"):
  with members:
    - "on enhancing speech emotion recognition using generative adversarial networks"
    - "medical image synthesis for data augmentation and anonymization using generative adversarial networks"
    - "jointly optimize data augmentation and network training adversarial data augmentation in human pose estimation"
    - "towards open set identity preserving face synthesis"
    - "semi supervised and transfer learning approaches for low resource sentiment classification"
    - "adversarial training in affective computing and sentiment analysis recent advances and perspectives"
    - "exprgan facial expression editing with controllable expression intensity"
    - "semi supervised learning with context conditional generative adversarial networks"

Connected through hyperedge HE-7 (induced by source paper "vulnerability of face recognition to deep morphing"):
  with members:
    - "exposing deep fakes using inconsistent head poses"
    - "faceforensics a large scale video dataset for forgery detection in human faces"
    - "image to image translation with conditional adversarial networks"
    - "fast face swap using convolutional neural networks"
    - "joint face detection and alignment using multitask cascaded convolutional networks"
    - "facenet a unified embedding for face recognition and clustering"

Connected through hyperedge HE-8 (induced by source paper "adversarial training in affective computing and sentiment analysis recent advances and perspectives"):
  with members:
    - "geometry contrastive gan for facial expression transfer"
    - "generative adversarial networks an overview"
    - "towards open set identity preserving face synthesis"
    - "talking face generation by conditional recurrent adversarial network"
    - "interactive generative adversarial networks for facial expression generation in dyadic interactions"
    - "expressive speech synthesis via modeling expressions with variational autoencoder"
    - "voice impersonation using generative adversarial networks"
    - "correlated discrete data generation using adversarial training"

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)