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: "losing weight by gaining edges"
  Abstract: We present a new way to encode weighted sums into unweighted pairwise constraints, obtaining the following results. #R##N#- Define the k-SUM problem to be: given n integers in [-n^2k, n^2k] are there k which sum to zero? (It is well known that the same problem over arbitrary integers is equivalent to the above definition, by linear-time randomized reductions.) We prove that this definition of k-SUM remains W[1]-hard, and is in fact W[1]-complete: k-SUM can be reduced to f(k) * n^o(1) instances of k-Clique. #R##N#- The maximum node-weighted k-Clique and node-weighted k-dominating set problems can be reduced to n^o(1) instances of the unweighted k-Clique and k-dominating set problems, respectively. This implies a strong equivalence between the time complexities of the node weighted problems and the unweighted problems: any polynomial improvement on one would imply an improvement for the other. #R##N#- A triangle of weight 0 in a node weighted graph with m edges can be deterministically found in m^1.41 time.

Connected through hyperedge HE-1 (induced by source paper "a simple gap producing reduction for the parameterized set cover problem"):
  with members:
    - "from gap eth to fpt inapproximability clique dominating set and more"
    - "distributed pcp theorems for hardness of approximation in p"
    - "the constant inapproximability of the parameterized dominating set problem"
    - "the parameterized complexity of k biclique"
    - "exact weight subgraphs and the k sum conjecture"
    - "analytical approach to parallel repetition"

Connected through hyperedge HE-2 (induced by source paper "single machine batch scheduling to minimize the weighted number of tardy jobs"):
  with members:
    - "new algorithms for minimizing the weighted number of tardy jobs on a single machine"
    - "polynomial kernels for weighted problems"

Connected through hyperedge HE-3 (induced by source paper "more consequences of falsifying seth and the orthogonal vectors conjecture"):
  with members:
    - "on the fine grained complexity of empirical risk minimization kernel methods and neural networks"
    - "conditional lower bounds for all pairs max flow"
    - "on the fine grained complexity of one dimensional dynamic programming"
    - "distributed pcp theorems for hardness of approximation in p"
    - "tree edit distance cannot be computed in strongly subcubic time unless apsp can"
    - "fine grained complexity of analyzing compressed data quantifying improvements over decompress and solve"
    - "improving viterbi is hard better runtimes imply faster clique algorithms"
    - "on the hardness of partially dynamic graph problems and connections to diameter"

Connected through hyperedge HE-4 (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"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"

Connected through hyperedge HE-5 (induced by source paper "uniform csp parameterized by solution size is in w 1"):
  with members:
    - "parameterized complexity of csp for infinite constraint languages"
    - "a polynomial turing kernel for weighted independent set in bull free graphs"
    - "improved fpt algorithms for weighted independent set in bull free graphs"
    - "constraint satisfaction parameterized by solution size"

Connected through hyperedge HE-6 (induced by source paper "seth based lower bounds for subset sum and bicriteria path"):
  with members:
    - "on the fine grained complexity of empirical risk minimization kernel methods and neural networks"
    - "a short note on merlin arthur protocols for subset sum"
    - "parameterizing pwm and profile matching and knapsack by the feasible weight solutions count"
    - "subquadratic algorithms for algebraic generalizations of 3sum"
    - "a near linear pseudopolynomial time algorithm for subset sum"
    - "a dichotomy for regular expression membership testing"
    - "improved bounds for 3sum k sum and linear degeneracy"
    - "clustered integer 3sum via additive combinatorics"

Connected through hyperedge HE-7 (induced by source paper "quadratic and near quadratic lower bounds for the congest model"):
  with members:
    - "distributed exact shortest paths in sublinear time"
    - "a time hierarchy theorem for the local model"
    - "distributed approximation of maximum independent set and maximum matching"
    - "near linear lower bounds for distributed distance computations even in sparse networks"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "distributed construction of purely additive spanners"
    - "algebraic methods in the congested clique"
    - "threesomes degenerates and love triangles"

Connected through hyperedge HE-8 (induced by source paper "on the parameterized complexity of approximating dominating set"):
  with members:
    - "distributed pcp theorems for hardness of approximation in p"
    - "the parameterized complexity of k biclique"
    - "exact weight subgraphs and the k sum conjecture"
    - "multiparty equality function computation in networks with point to point links"

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.CC(Computational Complexity)