human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "on integer programming and convolution"):
  Abstract: Integer programs with a fixed number of constraints can be solved in pseudo-polynomial time. We present a surprisingly simple algorithm and matching conditional lower bounds. Consider an IP in standard form $\max\{c^T x : A x = b, x\in \mathbb Z^n_{\ge 0}\}$, where $A\in \mathbb Z^{m\times n}, b\in \mathbb Z^m$ and $c\in \mathbb Z^n$. Let $\Delta$ be an upper bound on the absolute values in $A$. We show that this IP can be solved in time $O(m\Delta)^{2m} \cdot \log(\lVert b \rVert_\infty)$. The previous best algorithm has a running time of $n\cdot O(m\Delta)^{2m}\cdot \lVert b \rVert_1^2$. #R##N#The hardness of (min, +)-convolution has been used to prove conditional lower bounds on a number of polynomially solvable problems. We show that improving our algorithm for IPs of any fixed number of constraints is equivalent to improving (min, +)-convolution. More precisely, for any fixed $m$ there exists an algorithm for solving IPs with $m$ constraints in time $O(m(\Delta + \lVert b \rVert_\infty))^{2m-\delta}$ for some $\delta > 0$, if and only if there is a truly sub-quadratic algorithm for (min, +)-convolution. #R##N#For the feasibility problem, where the IP has no objective function, we improve the running time to $O(m\Delta)^{m} \log(\Delta) \log (\Delta + \lVert b \rVert_\infty)$. We also give a matching lower bound here: For every fixed $m$ and $\delta > 0$ there is no algorithm for testing feasibility of IPs with $m$ constraints in time $n^{O(1)} \cdot O(m(\Delta + \lVert b \rVert_\infty))^{m - \delta}$ unless the SETH is false.

Includes members:
  Member "on problems equivalent to min convolution":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the fine grained complexity of parity problems")
  Member "proximity results and faster algorithms for integer programming using the steinitz lemma":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "n fold integer programming via lp rounding")
  Member "on the optimality of pseudo polynomial algorithms for integer programming":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a row invariant parameterized algorithm for integer programming")
  Member "closing the gap for makespan scheduling via sparsification techniques":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "streaming algorithms for bin packing and vector scheduling")
  Member "a near linear pseudopolynomial time algorithm for subset sum":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "scheduling lower bounds via and subset sum")
  Member "clustered integer 3sum via additive combinatorics":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "all non trivial variants of 3 ldt are equivalent")

Question: Please tell me which class the source paper 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)