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: "the conference paper assignment problem using order weighted averages to assign indivisible goods"
  Abstract: Motivated by the common academic problem of allocating papers to referees for conference reviewing we propose a novel mechanism for solving the assignment problem when we have a two sided matching problem with preferences from one side (the agents/reviewers) over the other side (the objects/papers) and both sides have capacity constraints. The assignment problem is a fundamental problem in both computer science and economics with application in many areas including task and resource allocation. We draw inspiration from multi-criteria decision making and voting and use order weighted averages (OWAs) to propose a novel and flexible class of algorithms for the assignment problem. We show an algorithm for finding a $\Sigma$-OWA assignment in polynomial time, in contrast to the NP-hardness of finding an egalitarian assignment. Inspired by this setting we observe an interesting connection between our model and the classic proportional multi-winner election problem in social choice.

Connected through hyperedge HE-1 (induced by source paper "an algorithm for multi attribute diverse matching"):
  with members:
    - "balancing relevance and diversity in online bipartite matching via submodularity"
    - "the diverse cohort selection problem"
    - "learning mixtures of submodular shells with application to document summarization"

Connected through hyperedge HE-2 (induced by source paper "online evaluations for everyone mr dlib s living lab for scholarly recommendations"):
  with members:
    - "rard ii the 2nd related article recommendation dataset"
    - "the architecture of mr dlib s scientific recommender system api"
    - "rard ii the 94 million related article recommendation dataset"
    - "contextualised browsing in a digital library s living lab"
    - "graph embedding for citation recommendation"
    - "mr dlib recommendations as a service raas for academia"
    - "towards effective research recommender systems for repositories"
    - "evaluation as a service overview and outlook"

Connected through hyperedge HE-3 (induced by source paper "the constrained round robin algorithm for fair and efficient allocation"):
  with members:
    - "fair division of indivisible goods among strategic agents"
    - "fair division under cardinality constraints"
    - "fair allocation based on diminishing differences"
    - "redividing the cake"
    - "possible and necessary allocations via sequential mechanisms"
    - "fair assignment of indivisible objects under ordinal preferences"

Connected through hyperedge HE-4 (induced by source paper "paper matching with local fairness constraints"):
  with members:
    - "a framework for optimizing paper matching"
    - "recommender systems for the conference paper assignment problem"
    - "an algorithm to determine peer reviewers"

Connected through hyperedge HE-5 (induced by source paper "flexible representative democracy an introduction with binary issues"):
  with members:
    - "on rational delegations in liquid democracy"
    - "a mathematical model for optimal decisions in a representative democracy"
    - "binary voting with delegable proxy an analysis of liquid democracy"
    - "proxy voting for better outcomes"
    - "what do we elect committees for a voting committee model for multi winner rules"
    - "finding a collective set of items from proportional multirepresentation to group recommendation"
    - "justified representation in approval based committee voting"

Connected through hyperedge HE-6 (induced by source paper "the diverse cohort selection problem"):
  with members:
    - "diverse weighted bipartite b matching"
    - "multiwinner elections with diversity constraints"
    - "calibrated fairness in bandits"
    - "fairness in learning classic and contextual bandits"
    - "learning to hire teams"
    - "noisy submodular maximization via adaptive sampling with applications to crowdsourced image collection summarization"
    - "regret analysis of stochastic and nonstochastic multi armed bandit problems"

Connected through hyperedge HE-7 (induced by source paper "the price of diversity in assignment problems"):
  with members:
    - "diverse weighted bipartite b matching"
    - "multiwinner elections with diversity constraints"
    - "finding fair and efficient allocations"
    - "multi attribute proportional representation"
    - "social welfare in one sided matching markets without money"

Connected through hyperedge HE-8 (induced by source paper "strategyproof peer selection using randomization partitioning and apportionment"):
  with members:
    - "friend based ranking"
    - "design and analysis of the nips 2016 review process"
    - "how effective can simple ordinal peer grading be"
    - "aggregating partial rankings with applications to peer grading in massive online open courses"
    - "a near optimal mechanism for impartial selection"
    - "the peerrank method for peer assessment"
    - "crowdgrader crowdsourcing the evaluation of homework assignments"
    - "incentives quality and risks a look into the nsf proposal review pilot"

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.AI(Artificial Intelligence)