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 "from statistical relational to neuro symbolic artificial intelligence"):
  Abstract: Neuro-symbolic and statistical relational artificial intelligence both integrate frameworks for learning with logical reasoning. This survey identifies several parallels across seven different dimensions between these two fields. These cannot only be used to characterize and position neuro-symbolic artificial intelligence approaches but also to identify a number of directions for further research.

Includes members:
  Member "relational neural machines":
    also connected through other hyperedges:
      (none)
  Member "neural logic machines":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "relational neural machines")
  Member "differentiable reasoning on large knowledge bases and natural language":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "transformers as soft reasoners over language")
  Member "playgol learning programs through play":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "turning 30 new ideas in inductive logic programming")
  Member "neural symbolic computing an effective methodology for principled integration of machine learning and reasoning":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "graph neural networks meet neural symbolic computing a survey and perspective")
  Member "learning to reason leveraging neural networks for approximate dnf counting":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "graph neural networks meet neural symbolic computing a survey and perspective")
  Member "synthesizing datalog programs using numerical relaxation":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "turning 30 new ideas in inductive logic programming")
  Member "learning relational representations with auto encoding logic programs":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "relational neural machines")

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.AI(Artificial Intelligence)