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: "tight complexity lower bounds for integer linear programming with few constraints"
  Abstract: We consider the ILP Feasibility problem: given an integer linear program $\{Ax = b, x\geq 0\}$, where $A$ is an integer matrix with $k$ rows and $\ell$ columns and $b$ is a vector of $k$ integers, we ask whether there exists $x\in\mathbb{N}^\ell$ that satisfies $Ax = b$. Our goal is to study the complexity of ILP Feasibility when both $k$, the number of constraints (rows of $A$), and $\|A\|_\infty$, the largest absolute value in $A$, are small. #R##N#Papadimitriou [J. ACM, 1981] was the first to give a fixed-parameter algorithm for ILP Feasibility in this setting, with running time $\left((\|A\mid b\|_\infty) \cdot k\right)^{O(k^2)}$. This was very recently improved by Eisenbrand and Weismantel [SODA 2018], who used the Steinitz lemma to design an algorithm with running time $(k\|A\|_\infty)^{O(k)}\cdot \|b\|_\infty^2$, and subsequently by Jansen and Rohwedder [2018] to $O(k\|A\|_\infty)^{k}\cdot \log \|b\|_\infty$. We prove that for $\{0,1\}$-matrices $A$, the dependency on $k$ is probably optimal: an algorithm with running time $2^{o(k\log k)}\cdot (\ell+\|b\|_\infty)^{o(k)}$ would contradict ETH. This improves previous non-tight lower bounds of Fomin et al. [ESA 2018]. #R##N#We then consider ILPs with many constraints, but structured in a shallow way. Precisely, we consider the dual treedepth of the matrix $A$, which is the treedepth of the graph over the rows of $A$, with two rows adjacent if in some column they both contain a non-zero entry. It was recently shown by Kouteck\'{y} et al. [ICALP 2018] that ILP Feasibility can be solved in time $\|A\|_\infty^{2^{O(td(A))}}\cdot (k+\ell+\log \|b\|_\infty)^{O(1)}$. We present a streamlined proof of this fact and prove optimality: even assuming that all entries of $A$ and $b$ are in $\{-1,0,1\}$, the existence of an algorithm with running time $2^{2^{o(td(A))}}\cdot (k+\ell)^{O(1)}$ would contradict ETH.

Connected through hyperedge HE-1 (induced by source paper "n fold integer programming via lp rounding"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "faster algorithms for integer programs with block structure"
    - "empowering the configuration ip new ptas results for scheduling with setups times"
    - "near linear time algorithm for n fold ilps via color coding"
    - "on integer programming and convolution"
    - "scheduling meets n fold integer programming"
    - "combinatorial n fold integer programming and applications"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"

Connected through hyperedge HE-2 (induced by source paper "about the complexity of two stage stochastic ips"):
  with members:
    - "a parameterized strongly polynomial algorithm for block structured integer programs"
    - "faster algorithms for integer programs with block structure"
    - "empowering the configuration ip new ptas results for scheduling with setups times"
    - "new bounds on augmenting steps of block structured integer programs"
    - "near linear time algorithm for n fold ilps via color coding"
    - "on the graver basis of block structured integer programming"
    - "scheduling meets n fold integer programming"
    - "combinatorial n fold integer programming and applications"

Connected through hyperedge HE-3 (induced by source paper "on integer programming discrepancy and convolution"):
  with members:
    - "on problems equivalent to min convolution"
    - "on integer programming and convolution"
    - "capacitated dynamic programming faster knapsack and graph algorithms"
    - "proximity results and faster algorithms for integer programming using the steinitz lemma"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "on the optimality of pseudo polynomial algorithms for integer programming"
    - "closing the gap for makespan scheduling via sparsification techniques"
    - "clustered integer 3sum via additive combinatorics"

Connected through hyperedge HE-4 (induced by source paper "proximity results and faster algorithms for integer programming using the steinitz lemma"):
  with members:
    - "on integer programming and convolution"
    - "algorithmic discrepancy beyond partial coloring"
    - "closing the gap for makespan scheduling via sparsification techniques"
    - "on integer programming and the path width of the constraint matrix"

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)