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: "seth based lower bounds for subset sum and bicriteria path"
  Abstract: Subset-Sum and k-SAT are two of the most extensively studied problems in computer science, and conjectures about their hardness are among the cornerstones of fine-grained complexity. One of the most intriguing open problems in this area is to base the hardness of one of these problems on the other. #R##N#Our main result is a tight reduction from k-SAT to Subset-Sum on dense instances, proving that Bellman's 1962 pseudo-polynomial $O^{*}(T)$-time algorithm for Subset-Sum on $n$ numbers and target $T$ cannot be improved to time $T^{1-\varepsilon}\cdot 2^{o(n)}$ for any $\varepsilon>0$, unless the Strong Exponential Time Hypothesis (SETH) fails. This is one of the strongest known connections between any two of the core problems of fine-grained complexity. #R##N#As a corollary, we prove a "Direct-OR" theorem for Subset-Sum under SETH, offering a new tool for proving conditional lower bounds: It is now possible to assume that deciding whether one out of $N$ given instances of Subset-Sum is a YES instance requires time $(N T)^{1-o(1)}$. As an application of this corollary, we prove a tight SETH-based lower bound for the classical Bicriteria s,t-Path problem, which is extensively studied in Operations Research. We separate its complexity from that of Subset-Sum: On graphs with $m$ edges and edge lengths bounded by $L$, we show that the $O(Lm)$ pseudo-polynomial time algorithm by Joksch from 1966 cannot be improved to $\tilde{O}(L+m)$, in contrast to a recent improvement for Subset Sum (Bringmann, SODA 2017).

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"
    - "fine grained i o complexity via reductions new lower bounds faster algorithms and a time hierarchy"
    - "on problems as hard as cnf sat"
    - "a near linear pseudopolynomial time algorithm for subset sum"

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"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "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"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "on problems as hard as cnf sat"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "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"
    - "on problems as hard as cnf sat"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "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"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "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"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "the decision tree complexity for k sum is at most nearly quadratic"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "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 "tight complexity lower bounds for integer linear programming with few constraints"):
  with members:
    - "a row invariant parameterized algorithm for integer programming"
    - "about the complexity of two stage stochastic ips"
    - "scheduling meets n fold integer programming"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"

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)