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 input output complexity of triangle enumeration"
  Abstract: We consider the well-known problem of enumerating all triangles of an undirected graph. Our focus is on determining the input/output (I/O) complexity of this problem. Let E be the number of edges, M  Ec for a constant c > 0. Our results are based on a new color coding technique, which may be of independent interest.

Connected through hyperedge HE-1 (induced by source paper "instance and output optimal parallel algorithms for acyclic joins"):
  with members:
    - "size bounds and query plans for relational joins"
    - "constraint solving via fractional edge covers"
    - "answering conjunctive queries under updates"
    - "worst case optimal algorithms for parallel query processing"
    - "what do shannon type inequalities submodular width and disjunctive datalog have to do with one another"
    - "it s all a matter of degree using degree information to optimize multiway joins"
    - "skew in parallel query processing"
    - "gym a multiround join algorithm in mapreduce"

Connected through hyperedge HE-2 (induced by source paper "theoretically efficient parallel graph algorithms can be fast and scalable"):
  with members:
    - "single source bottleneck path algorithm faster than sorting for sparse graphs"
    - "local algorithms for hierarchical dense subgraph discovery"
    - "parallelism in randomized incremental algorithms"
    - "bigsparse high performance external graph analytics"
    - "implicit decomposition for write efficient connectivity algorithms"
    - "nearly work efficient parallel algorithm for digraph reachability"
    - "a new efficient construction on probabilistic tree embeddings"
    - "compressing graphs and indexes with recursive graph bisection"

Connected through hyperedge HE-3 (induced by source paper "rept a streaming algorithm of approximating global and local triangle counts in parallel"):
  with members:
    - "on sampling from massive graph streams"
    - "ringo interactive graph analytics on big memory machines"
    - "nxgraph an efficient graph processing system on a single machine"
    - "graph sample and hold a framework for big graph analytics"
    - "wedge sampling for computing clustering coefficients and triangle counts on large graphs"
    - "parallel triangle counting in massive streaming graphs"
    - "a space efficient streaming algorithm for triangle counting using the birthday paradox"
    - "image labeling on a network using social network metadata for image classification"

Connected through hyperedge HE-4 (induced by source paper "tight hardness for shortest cycles and paths in sparse graphs"):
  with members:
    - "tree edit distance cannot be computed in strongly subcubic time unless apsp can"
    - "finding even cycles faster via capped k walks"
    - "fine grained complexity and conditional hardness for sparse graphs"
    - "polynomial representations of threshold functions and algorithmic applications"
    - "powers of tensors and fast matrix multiplication"
    - "faster all pairs shortest paths via circuit complexity"
    - "algorithmic applications of baur strassen s theorem shortest cycles diameter and matchings"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-5 (induced by source paper "answering spatial multiple set intersection queries using 2 3 cuckoo hash filters"):
  with members:
    - "cuckoo filter simplification and analysis"
    - "dynamic set intersection"
    - "thresholds for extreme orientability"
    - "fast set intersection in memory"
    - "a new data layout for set intersection on gpus"
    - "privacy preserving access of outsourced data via oblivious ram simulation"
    - "fast evaluation of union intersection expressions"

Connected through hyperedge HE-6 (induced by source paper "fine grained i o complexity via reductions new lower bounds faster algorithms and a time hierarchy"):
  with members:
    - "why walking the dog takes time frechet distance has no strongly subquadratic algorithms unless seth fails"
    - "powers of tensors and fast matrix multiplication"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "the input output complexity of sparse matrix multiplication"

Connected through hyperedge HE-7 (induced by source paper "tight bounds for distributed graph computations"):
  with members:
    - "mst in o 1 rounds of the congested clique"
    - "near optimal clustering in the k machine model"
    - "worst case optimal algorithms for parallel query processing"
    - "algebraic methods in the congested clique"
    - "fast distributed algorithms for connectivity and mst in large graphs"
    - "fast distributed pagerank computation"
    - "almost optimal distributed algorithms for large scale graph problems"
    - "why do simple algorithms for triangle enumeration work in the real world"

Connected through hyperedge HE-8 (induced by source paper "furl fixed memory and uncertainty reducing local triangle counting for graph streams"):
  with members:
    - "a space efficient streaming algorithm for triangle counting using the birthday paradox"
    - "uncovering social network sybils in the wild"

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)