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: "minimum weight cycles and triangles equivalences and algorithms"
  Abstract: We consider the fundamental algorithmic problem of finding a cycle of minimum weight in a weighted graph. In particular, we show that the minimum weight cycle problem in an undirected n-node graph with edge weights in {1,...,M} or in a directed n-node graph with edge weights in {-M,..., M} and no negative cycles can be efficiently reduced to finding a minimum weight triangle in an Theta(n)-node undirected graph with weights in {1,...,O(M)}. Roughly speaking, our reductions imply the following surprising phenomenon: a minimum cycle with an arbitrary number of weighted edges can be "encoded" using only three edges within roughly the same weight interval! This resolves a longstanding open problem posed by Itai and Rodeh [SIAM J. Computing 1978 and STOC'77]. #R##N#A direct consequence of our efficient reductions are O (Mn^{omega})-time algorithms using fast matrix multiplication (FMM) for finding a minimum weight cycle in both undirected graphs with integral weights from the interval [1,M] and directed graphs with integral weights from the interval [-M,M]. The latter seems to reveal a strong separation between the all pairs shortest paths (APSP) problem and the minimum weight cycle problem in directed graphs as the fastest known APSP algorithm has a running time of O(M^{0.681}n^{2.575}) by Zwick [J. ACM 2002]. #R##N#In contrast, when only combinatorial algorithms are allowed (that is, without FMM) the only known solution to minimum weight cycle is by computing APSP. Interestingly, any separation between the two problems in this case would be an amazing breakthrough as by a recent paper by Vassilevska W. and Williams [FOCS'10], any O(n^{3-eps})-time algorithm (eps>0) for minimum weight cycle immediately implies a O(n^{3-delta})-time algorithm (delta>0) for APSP.

Connected through hyperedge HE-1 (induced by source paper "approximating apsp without scaling equivalence of approximate min plus and exact min max"):
  with members:
    - "on problems equivalent to min convolution"
    - "subquadratic approximation scheme for partition"
    - "hardness of approximate nearest neighbor search"
    - "on the hardness of approximate and exact bichromatic maximum inner product"
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "distributed pcp theorems for hardness of approximation in p"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"

Connected through hyperedge HE-2 (induced by source paper "equivalences between triangle and range query problems"):
  with members:
    - "approximating apsp without scaling equivalence of approximate min plus and exact min max"
    - "computing quartet distance is equivalent to counting 4 cycles"
    - "algorithms and hardness for diameter in dynamic graphs"
    - "tight hardness for shortest cycles and paths in sparse graphs"
    - "improved rectangular matrix multiplication using powers of the coppersmith winograd tensor"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"
    - "higher lower bounds from the 3sum conjecture"

Connected through hyperedge HE-3 (induced by source paper "triangles and girth in disk graphs and transmission graphs"):
  with members:
    - "spanners for directed transmission graphs"
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "powers of tensors and fast matrix multiplication"
    - "computing the girth of a planar graph in linear time"

Connected through hyperedge HE-4 (induced by source paper "faster approximation algorithms for computing shortest cycles on weighted graphs"):
  with members:
    - "towards tight approximation bounds for graph diameter and eccentricities"
    - "fully polynomial fpt algorithms for some classes of bounded clique width graphs"
    - "new subquadratic approximation algorithms for the girth"
    - "tight hardness for shortest cycles and paths in sparse graphs"
    - "on the power of tree depth for fully polynomial fpt algorithms"
    - "approximating cycles in directed graphs fast algorithms for girth and roundtrip spanners"
    - "subtree isomorphism revisited"
    - "polynomial fixed parameter algorithms a case study for longest path on interval graphs"

Connected through hyperedge HE-5 (induced by source paper "improved distance queries and cycle counting by frobenius normal form"):
  with members:
    - "fine grained complexity and conditional hardness for sparse graphs"
    - "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-6 (induced by source paper "fine grained complexity and conditional hardness for sparse graphs"):
  with members:
    - "improved distance queries and cycle counting by frobenius normal form"
    - "finding k simple shortest paths and cycles"
    - "threesomes degenerates and love triangles"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "higher lower bounds from the 3sum conjecture"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-7 (induced by source paper "a distributed enumeration algorithm and applications to all pairs shortest paths diameter"):
  with members:
    - "distributed approximation algorithms for weighted shortest paths"
    - "distributed minimum cut approximation"
    - "fast distributed computation of distances in networks"
    - "distributed verification and hardness of distributed approximation"
    - "fast computation of small cuts via cycle space sampling"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-8 (induced by source paper "algorithmic applications of baur strassen s theorem shortest cycles diameter and matchings"):
  with members:
    - "computing the diameter polynomially faster than apsp"
    - "determinant sums for undirected hamiltonicity"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

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)