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: "online matroid intersection beating half for random arrival"
  Abstract: For two matroids $\mathcal{M}_1$ and $\mathcal{M}_2$ defined on the same ground set $E$, the online matroid intersection problem is to design an algorithm that constructs a large common independent set in an online fashion. The algorithm is presented with the ground set elements one-by-one in a uniformly random order. At each step, the algorithm must irrevocably decide whether to pick the element, while always maintaining a common independent set. While the natural greedy algorithm---pick an element whenever possible---is half competitive, nothing better was previously known; even for the special case of online bipartite matching in the edge arrival model. We present the first randomized online algorithm that has a $\frac12 + \delta$ competitive ratio in expectation, where $\delta >0$ is a constant. The expectation is over the random order and the coin tosses of the algorithm. As a corollary, we also obtain the first linear time algorithm that beats half competitiveness for offline matroid intersection.

Connected through hyperedge HE-1 (induced by source paper "improved truthful mechanisms for combinatorial auctions with submodular bidders"):
  with members:
    - "complement free couples must communicate a hardness result for two player combinatorial auctions"
    - "beyond 1 2 approximation for submodular maximization on massive data streams"
    - "prophet secretary for combinatorial auctions and matroids"
    - "on simultaneous two player combinatorial auctions"
    - "combinatorial auctions do need modest interaction"
    - "breaking the logarithmic barrier for truthful combinatorial auctions with submodular bidders"
    - "computational efficiency requires simple taxation"
    - "inapproximability of truthful mechanisms via generalizations of the vc dimension"

Connected through hyperedge HE-2 (induced by source paper "robust algorithms for the secretary problem"):
  with members:
    - "near optimal online algorithms and fast approximation algorithms for resource allocation problems"
    - "stochastic bandits robust to adversarial corruptions"
    - "learning geometric concepts with nasty noise"
    - "learning from untrusted data"
    - "agnostic estimation of mean and covariance"
    - "robust estimators in high dimensions without the computational intractability"
    - "combinatorial prophet inequalities"
    - "beyond matroids secretary problem and prophet inequality with general constraints"

Connected through hyperedge HE-3 (induced by source paper "online stochastic matching with edge arrivals"):
  with members:
    - "beating greedy for stochastic bipartite matching"
    - "online matching with general arrivals"
    - "prophet inequality for bipartite matching merits of being simple and non adaptive"
    - "tight competitive ratios of classic matching algorithms in the fully online model"
    - "how to match when all vertices arrive online"
    - "improved approximation algorithms for stochastic matching"
    - "improved bounds for online preemptive matching"
    - "buyback problem approximate matroid intersection with cancellation costs"

Connected through hyperedge HE-4 (induced by source paper "online matching with general arrivals"):
  with members:
    - "tight bounds for online edge coloring"
    - "tight competitive ratios of classic matching algorithms in the fully online model"
    - "how to match when all vertices arrive online"
    - "online vertex weighted bipartite matching beating 1 1 e with random arrivals"
    - "an economic based analysis of ranking for online bipartite matching"
    - "tighter bounds for online bipartite matching"
    - "online lower bounds via duality"
    - "maximum matching on trees in the online preemptive and the incremental dynamic graph models"

Connected through hyperedge HE-5 (induced by source paper "prophets secretaries and maximizing the probability of choosing the best"):
  with members:
    - "stochastic k server how should uber work"
    - "prophet secretary for combinatorial auctions and matroids"
    - "o log log rank competitive ratio for the matroid secretary problem"
    - "a simple o log log mathrm rank competitive algorithm for the matroid secretary problem"
    - "online independent set beyond the worst case secretaries prophets and periods"
    - "bayesian combinatorial auctions expanding single buyer mechanisms to many buyers"
    - "mechanism design via correlation gap"
    - "algorithms for secretary problems on graphs and hypergraphs"

Connected through hyperedge HE-6 (induced by source paper "faster matroid intersection"):
  with members:
    - "a note on cunningham s algorithm for matroid intersection"
    - "a faster cutting plane method and its implications for combinatorial and convex optimization"
    - "approximate undirected maximum flows in o m polylog n time"
    - "an almost linear time algorithm for approximate max flow in undirected graphs and its multicommodity generalizations"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "nearly maximum flows in nearly linear time"
    - "electrical flows laplacian systems and faster approximation of maximum flow in undirected graphs"
    - "on the index coding problem and its relation to network coding and matroid theory"

Connected through hyperedge HE-7 (induced by source paper "online submodular maximization beating 1 2 made simple"):
  with members:
    - "near optimal online algorithms and fast approximation algorithms for resource allocation problems"
    - "deterministic 1 2 epsilon approximation for submodular maximization over a matroid"
    - "beyond 1 2 approximation for submodular maximization on massive data streams"
    - "online submodular welfare maximization greedy beats 1 2 in random order"
    - "lazier than lazy greedy"
    - "online submodular welfare maximization greedy is optimal"
    - "maximum matching in semi streaming with few passes"
    - "online vertex weighted bipartite matching and single bid budgeted allocations"

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.DS(Data Structures and Algorithms)