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: "fast context free grammar parsing requires fast boolean matrix multiplication"
  Abstract: In 1975, Valiant showed that Boolean matrix multiplication can be used for parsing context-free grammars (CFGs), yielding the asympotically fastest (although not practical) CFG parsing algorithm known. We prove a dual result: any CFG parser with time complexity $O(g n^{3 - \epsilson})$, where $g$ is the size of the grammar and $n$ is the length of the input string, can be efficiently converted into an algorithm to multiply $m \times m$ Boolean matrices in time $O(m^{3 - \epsilon/3})$. #R##N#Given that practical, substantially sub-cubic Boolean matrix multiplication algorithms have been quite difficult to find, we thus explain why there has been little progress in developing practical, substantially sub-cubic general CFG parsers. In proving this result, we also develop a formalization of the notion of parsing.

Connected through hyperedge HE-1 (induced by source paper "optimal dyck reachability for data dependence and alias analysis"):
  with members:
    - "unifying and strengthening hardness for dynamic problems via the online matrix vector multiplication conjecture"
    - "faster algorithms for quantitative verification in constant treewidth graphs"
    - "algorithms for algebraic path properties in concurrent systems of constant treewidth components"
    - "powers of tensors and fast matrix multiplication"
    - "popular conjectures imply strong lower bounds for dynamic problems"

Connected through hyperedge HE-2 (induced by source paper "fast feasible and unfeasible matrix multiplication"):
  with members:
    - "hypergraph partitioning for sparse matrix matrix multiplication"
    - "exploiting multiple levels of parallelism in sparse matrix matrix multiplication"
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "improving the numerical stability of fast matrix multiplication algorithms"
    - "a framework for practical parallel fast matrix multiplication"
    - "fast matrix multiplication limitations of the laser method"
    - "powers of tensors and fast matrix multiplication"
    - "nearly optimal computations with structured matrices"

Connected through hyperedge HE-3 (induced by source paper "efficient exact paths for dyck and semi dyck labeled path reachability"):
  with members:
    - "powers of tensors and fast matrix multiplication"
    - "information cost tradeoffs for augmented index and streaming language recognition"
    - "all pairs shortest paths using bridging sets and rectangular matrix multiplication"

Connected through hyperedge HE-4 (induced by source paper "truly sub cubic algorithms for language edit distance and rna folding via fast bounded difference min plus product"):
  with members:
    - "clustered integer 3sum via additive combinatorics"
    - "hardness of rna folding problem with four symbols"
    - "if the current clique algorithms are optimal so is valiant s parser"
    - "powers of tensors and fast matrix multiplication"
    - "language edit distance maximum likelihood parsing of stochastic grammars faster algorithms connection to fundamental graph problems"
    - "an error correcting parser for context free grammars that takes less than cubic time"
    - "faster all pairs shortest paths via circuit complexity"
    - "streaming algorithms for recognizing nearly well parenthesized expressions"

Connected through hyperedge HE-5 (induced by source paper "model and objective separation with conditional lower bounds disjunction is harder than conjunction"):
  with members:
    - "finding 2 edge and 2 vertex strongly connected components in quadratic time"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "approximation and fixed parameter subquadratic algorithms for radius and diameter"
    - "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"
    - "improved algorithms for one pair and k pair streett objectives"
    - "faster all pairs shortest paths via circuit complexity"

Connected through hyperedge HE-6 (induced by source paper "if the current clique algorithms are optimal so is valiant s parser"):
  with members:
    - "an improved combinatorial algorithm for boolean matrix multiplication"
    - "clustered integer 3sum via additive combinatorics"
    - "time and space efficient algorithms for rna folding with the four russians technique"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"
    - "quadratic time hardness of lcs and other sequence similarity measures"
    - "powers of tensors and fast matrix multiplication"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "language edit distance maximum likelihood parsing of stochastic grammars faster algorithms connection to fundamental graph problems"

Connected through hyperedge HE-7 (induced by source paper "on the sizes of dpdas pdas lbas"):
  with members:
    - "powers of tensors and fast matrix multiplication"
    - "on measuring non recursive trade offs"

Connected through hyperedge HE-8 (induced by source paper "popular conjectures imply strong lower bounds for dynamic problems"):
  with members:
    - "on problems as hard as cnf sat"
    - "powers of tensors and fast matrix multiplication"
    - "3sum 3xor triangles"
    - "exact weight subgraphs and the k sum conjecture"
    - "faster all pairs shortest paths via circuit complexity"
    - "dynamic approximate all pairs shortest paths breaking the o mn barrier and derandomization"
    - "navigating central path with electrical flows from flows to matchings and back"
    - "deterministic parameterized connected vertex cover"

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.CL(Computation and Language)