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: "an algebraic approach to physical layer network coding"
  Abstract: The problem of designing physical-layer network coding (PNC) schemes via nested lattices is considered. Building on the compute-and-forward (C&F) relaying strategy of Nazer and Gastpar, who demonstrated its asymptotic gain using information-theoretic tools, an algebraic approach is taken to show its potential in practical, nonasymptotic, settings. A general framework is developed for studying nested-lattice-based PNC schemes-called lattice network coding (LNC) schemes for short-by making a direct connection between C&F and module theory. In particular, a generic LNC scheme is presented that makes no assumptions on the underlying nested lattice code. C&F is reinterpreted in this framework, and several generalized constructions of LNC schemes are given. The generic LNC scheme naturally leads to a linear network coding channel over modules, based on which noncoherent network coding can be achieved. Next, performance/complexity tradeoffs of LNC schemes are studied, with a particular focus on hypercube-shaped LNC schemes. The error probability of this class of LNC schemes is largely determined by the minimum intercoset distances of the underlying nested lattice code. Several illustrative hypercube-shaped LNC schemes are designed based on Constructions A and D, showing that nominal coding gains of 3 to 7.5 dB can be obtained with reasonable decoding complexity. Finally, the possibility of decoding multiple linear combinations is considered and related to the shortest independent vectors problem. A notion of dominant solutions is developed together with a suitable lattice-reduction-based algorithm.

Connected through hyperedge HE-1 (induced by source paper "lattice coding for downlink multiuser transmission"):
  with members:
    - "downlink non orthogonal multiple access without sic for block fading channels an algebraic rotation approach"
    - "joint pilot and payload power control for uplink mimo noma with mrc sic receivers"
    - "short packet downlink transmission with non orthogonal multiple access"
    - "a multi beam noma framework for hybrid mmwave systems"
    - "optimal resource allocation for power efficient mc noma with imperfect channel state information"
    - "improved decoding and error floor analysis of staircase codes"
    - "performance analysis of a hybrid downlink uplink cooperative noma scheme"
    - "on non orthogonal multiple access with finite alphabet inputs in z channels"

Connected through hyperedge HE-2 (induced by source paper "asymptotic analysis on ldpc bicm scheme for compute and forward relaying"):
  with members:
    - "asymptotic analysis of spatial coupling coding for compute and forward relaying"
    - "secure computation and forward with linear codes"
    - "universal codes for the gaussian mac via spatial coupling"
    - "channel coding and decoding in a relay system operated with physical layer network coding"
    - "can iterative decoding for erasure correlated sources be universal"
    - "compute and forward harnessing interference through structured codes"
    - "density evolution for asymmetric memoryless channels"

Connected through hyperedge HE-3 (induced by source paper "secure modulo sum via multiple access channel"):
  with members:
    - "secure computation and forward with linear codes"
    - "secure physical layer network coding versus secure network coding"
    - "physical layer network coding a random coding error exponent perspective"
    - "secure multiplex coding with dependent and non uniform multiple messages"
    - "on secure computation over the binary modulo 2 adder multiple access wiretap channel"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "secure compute and forward in a bidirectional relay"
    - "adaptive compute and forward with lattice codes over algebraic integers"

Connected through hyperedge HE-4 (induced by source paper "ring compute and forward over block fading channels"):
  with members:
    - "boosted kz and lll algorithms"
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "algebraic lattice codes achieve the capacity of the compound block fading channel"
    - "universal lattice codes for mimo channels"
    - "adaptive compute and forward with lattice codes over algebraic integers"
    - "construction a of lattices over number fields and block fading wiretap coding"
    - "lattices over eisenstein integers for compute and forward"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"

Connected through hyperedge HE-5 (induced by source paper "a modulo based architecture for analog to digital conversion"):
  with members:
    - "on unlimited sampling"
    - "performance analysis and optimal filter design for sigma delta modulation via duality with dpcm"
    - "massive mimo for next generation wireless systems"
    - "precoded integer forcing universally achieves the mimo capacity to within a constant gap"
    - "integer forcing source coding"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "universal rate efficient scalar quantization"
    - "from theory to practice sub nyquist sampling of sparse wideband analog signals"

Connected through hyperedge HE-6 (induced by source paper "some properties of successive minima and their applications"):
  with members:
    - "integer forcing architectures for uplink cloud radio access networks"
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "a modified kz reduction algorithm"
    - "integer forcing source coding"
    - "partial lll reduction"
    - "integer forcing linear receivers"

Connected through hyperedge HE-7 (induced by source paper "generalized compute compress and forward"):
  with members:
    - "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"
    - "compute compress and forward exploiting asymmetry of wireless relay networks"
    - "lattice codes for many to one interference channels with and without cognitive messages"
    - "asymmetric compute and forward with csit"
    - "optimized backhaul compression for uplink cloud radio access network"
    - "successive integer forcing and its sum rate optimality"
    - "integer forcing mimo linear receivers based on lattice reduction"
    - "a simple proof for the existence of good pairs of nested lattices"

Connected through hyperedge HE-8 (induced by source paper "low complexity coefficient selection algorithms for compute and forward"):
  with members:
    - "polynomially solvable instances of the shortest and closest vector problems with applications to compute and forward"
    - "efficient integer coefficient search for compute and forward"
    - "cell free massive mimo versus small cells"
    - "compute and forward in cell free massive mimo great performance with low backhaul load"
    - "a linearithmic time algorithm for a shortest vector problem in compute and forward design"
    - "cell free massive mimo uniformly great service for everyone"
    - "adaptive compute and forward with lattice codes over algebraic integers"
    - "a multilevel framework for lattice network coding"

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.IT(Information Theory)