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: "a near linear pseudopolynomial time algorithm for subset sum"
  Abstract: Given a set $Z$ of $n$ positive integers and a target value $t$, the Subset Sum problem asks whether any subset of $Z$ sums to $t$. A textbook pseudopolynomial time algorithm by Bellman from 1957 solves Subset Sum in time $O(nt)$. This has been improved to $O(n \max Z)$ by Pisinger [J. Algorithms'99] and recently to $\tilde O(\sqrt{n} t)$ by Koiliaris and Xu [SODA'17]. #R##N#Here we present a simple randomized algorithm running in time $\tilde O(n+t)$. This improves upon a classic algorithm and is likely to be near-optimal, since it matches conditional lower bounds from Set Cover and k-Clique. #R##N#We then use our new algorithm and additional tricks to improve the best known polynomial space solution from time $\tilde O(n^3 t)$ and space $\tilde O(n^2)$ to time $\tilde O(nt)$ and space $\tilde O(n \log t)$, assuming the Extended Riemann Hypothesis. Unconditionally, we obtain time $\tilde O(n t^{1+\varepsilon})$ and space $\tilde O(n t^\varepsilon)$ for any constant $\varepsilon > 0$.

Connected through hyperedge HE-1 (induced by source paper "scheduling lower bounds via and subset sum"):
  with members:
    - "conditional hardness of earth mover distance"
    - "polyline simplification has cubic complexity"
    - "a simple near linear pseudopolynomial time randomized algorithm for subset sum"
    - "fast modular subset sum using linear sketching"
    - "algorithms and hardness for diameter in dynamic graphs"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "fine grained i o complexity via reductions new lower bounds faster algorithms and a time hierarchy"
    - "on problems as hard as cnf sat"

Connected through hyperedge HE-2 (induced by source paper "faster minimization of tardy processing newline time on a single machine"):
  with members:
    - "on problems equivalent to min convolution"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "a faster pseudopolynomial time algorithm for subset sum"

Connected through hyperedge HE-3 (induced by source paper "approximating subset sum is equivalent to min plus convolution"):
  with members:
    - "an improved fptas for 0 1 knapsack"
    - "approximating apsp without scaling equivalence of approximate min plus and exact min max"
    - "on problems equivalent to min convolution"
    - "subquadratic approximation scheme for partition"
    - "fast algorithms for knapsack via convolution and prediction"
    - "an equivalence class for orthogonal vectors"
    - "on integer programming and convolution"
    - "on the hardness of approximate and exact bichromatic maximum inner product"

Connected through hyperedge HE-4 (induced by source paper "on problems equivalent to min convolution"):
  with members:
    - "how hard is it to find honest witnesses"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "on problems as hard as cnf sat"
    - "clustered integer 3sum via additive combinatorics"
    - "a faster fptas for the unbounded knapsack problem"
    - "a faster pseudopolynomial time algorithm for subset sum"
    - "quadratic conditional lower bounds for string problems and dynamic time warping"

Connected through hyperedge HE-5 (induced by source paper "equal subset sum faster than the meet in the middle"):
  with members:
    - "ppp completeness with connections to cryptography"
    - "a simple near linear pseudopolynomial time randomized algorithm for subset sum"
    - "subset sum made simple"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "on problems as hard as cnf sat"
    - "number balancing is as hard as minkowski s theorem and shortest vector"
    - "a faster pseudopolynomial time algorithm for subset sum"
    - "space time tradeoffs for subset sum an improved worst case algorithm"

Connected through hyperedge HE-6 (induced by source paper "subquadratic approximation scheme for partition"):
  with members:
    - "on problems equivalent to min convolution"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "clustered integer 3sum via additive combinatorics"
    - "threesomes degenerates and love triangles"
    - "edit distance cannot be computed in strongly subquadratic time unless seth is false"
    - "polylogarithmic approximation for edit distance and the asymmetric query complexity"

Connected through hyperedge HE-7 (induced by source paper "fast modular subset sum using linear sketching"):
  with members:
    - "capacitated dynamic programming faster knapsack and graph algorithms"
    - "near optimal linear decision trees for k sum and related problems"
    - "seth based lower bounds for subset sum and bicriteria path"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "the decision tree complexity for k sum is at most nearly quadratic"
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"
    - "losing weight by gaining edges"

Connected through hyperedge HE-8 (induced by source paper "capacitated dynamic programming faster knapsack and graph algorithms"):
  with members:
    - "on problems equivalent to min convolution"
    - "fast algorithms for knapsack via convolution and prediction"
    - "on integer programming and convolution"
    - "fast algorithms for delta separated sparsity projection"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "a fast algorithm for separated sparsity via perturbed lagrangians"
    - "faster all pairs shortest paths via circuit complexity"

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)