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: "efficient approximation for triangulation of minimum treewidth"
  Abstract: We present four novel approximation algorithms for finding triangulation of minimum treewidth. Two of the algorithms improve on the running times of algorithms by Robertson and Seymour, and Becker and Geiger that approximate the optimum by factors of 4 and 3 2/3, respectively. A third algorithm is faster than those but gives an approximation factor of 4 1/2. The last algorithm is yet faster, producing factor-O(lg/k) approximations in polynomial time. Finding triangulations of minimum treewidth for graphs is central to many problems in computer science. Real-world problems in artificial intelligence, VLSI design and databases are efficiently solvable if we have an efficient approximation algorithm for them. We report on experimental results confirming the effectiveness of our algorithms for large graphs associated with real-world problems.

Connected through hyperedge HE-1 (induced by source paper "graph convolutional policy for solving tree decomposition via reinforcement learning heuristics"):
  with members:
    - "fast graph representation learning with pytorch geometric"
    - "combinatorial optimization with graph convolutional networks and guided tree search"
    - "learning combinatorial optimization algorithms over graphs"
    - "positive instance driven dynamic programming for treewidth"
    - "neural combinatorial optimization with reinforcement learning"
    - "semi supervised classification with graph convolutional networks"
    - "convolutional neural networks on graphs with fast localized spectral filtering"
    - "discriminative embeddings of latent variable models for structured data"

Connected through hyperedge HE-2 (induced by source paper "graph isomorphism in quasipolynomial time parameterized by treewidth"):
  with members:
    - "hypergraph isomorphism for groups with restricted composition factors"
    - "an improved isomorphism test for bounded tree width graphs"
    - "a faster isomorphism test for graphs of small degree"
    - "a unifying method for the design of algorithms canonizing combinatorial objects"
    - "minimum circuit size graph isomorphism and related problems"
    - "canonizing graphs of bounded tree width in logspace"
    - "graph isomorphism in quasipolynomial time"
    - "graph isomorphism for bounded genus graphs in linear time"

Connected through hyperedge HE-3 (induced by source paper "proving the np completeness of optimal moral graph triangulation"):
  with members:
    - "optimal decomposition of belief networks"

Connected through hyperedge HE-4 (induced by source paper "saving space by dynamic algebraization based on tree decomposition minimum dominating set"):
  with members:
    - "design by measure and conquer a faster exact algorithm for dominating set"

Connected through hyperedge HE-5 (induced by source paper "planar disjoint paths completion"):
  with members:
    - "finding topological subgraphs is fixed parameter tractable"

Connected through hyperedge HE-6 (induced by source paper "tree decompositions and social graphs"):
  with members:
    - "think locally act locally detection of small medium sized and large communities in large networks"
    - "polynomial bounds for the grid minor theorem"
    - "core periphery structure in networks"
    - "social structure of facebook networks"
    - "community structure in large networks natural cluster sizes and the absence of large well defined clusters"
    - "k core decomposition of internet graphs hierarchies self similarity and measurement biases"
    - "an o m algorithm for cores decomposition of networks"

Connected through hyperedge HE-7 (induced by source paper "a complete anytime algorithm for treewidth"):
  with members:
    - "pre processing for triangulation of probabilistic networks"

Connected through hyperedge HE-8 (induced by source paper "dynamic programming for graphs on surfaces"):
  with members:
    - "slightly superexponential parameterized problems"
    - "solving connectivity problems parameterized by treewidth in single exponential time"
    - "known algorithms on graphs of bounded treewidth are probably optimal"
    - "derandomizing the isolation lemma and lower bounds for circuit size"
    - "dynamic generators of topologically embedded graphs"

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)