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: "on interference networks over finite fields"
  Abstract: We present a framework to study linear deterministic interference networks over finite fields. Unlike the popular linear deterministic models introduced to study Gaussian networks, we consider networks where the channel coefficients are general scalars over some extension field $\FF_{p^m}$ (scalar $m$-th extension-field models), $m \times m$ diagonal matrices over $\FF_p$ ($m$-symbol extension ground-field models), and $m \times m$ general non-singular matrices (MIMO ground field models). We use the companion matrix representation of the extension field to convert $m$-th extension scalar models into MIMO ground-field models where the channel matrices have special algebraic structure. For such models, we consider the $2 \times 2 \times 2$ topology (two-hops two-flow) and the 3-user interference network topology. We derive achievability results and feasibility conditions for certain schemes based on the Precoding-Based Network Alignment (PBNA) approach, where intermediate nodes use random linear network coding (i.e., propagate random linear combinations of their incoming messages) and non-trivial precoding/decoding is performed only at the network edges, at the sources and destinations. Furthermore, we apply this approach to the scalar $2\times 2\times 2$ complex Gaussian IC with fixed channel coefficients, and show two competitive schemes outperforming other known approaches at any SNR, where we combine finite-field linear precoding/decoding with lattice coding and the Compute and Forward approach at the signal level. As a side result, we also show significant advantages of vector linear network coding both in terms of feasibility probability (with random coding coefficients) and in terms of coding latency, with respect to standard scalar linear network coding, in PBNA schemes.

Connected through hyperedge HE-1 (induced by source paper "structured mappings and conferencing common information for multiple access channels"):
  with members:
    - "a new achievable rate region for multiple access channel with states"
    - "quasi linear codes application to point to point and multi terminal source coding"
    - "distributed simulation of continuous random variables"
    - "exact common information"
    - "achievable rate region for three user discrete broadcast channel based on coset codes"
    - "computing sum of sources over an arbitrary multiple access channel"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"

Connected through hyperedge HE-2 (induced by source paper "expanding the compute and forward framework unequal powers signal levels and multiple linear combinations"):
  with members:
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "a joint typicality approach to algebraic network information theory"
    - "secure compute and forward in a bidirectional relay"
    - "secure degrees of freedom of one hop wireless networks"
    - "real interference alignment exploiting the potential of single antenna systems"
    - "multiple access via compute and forward"
    - "lattices over eisenstein integers for compute and forward"
    - "uplink downlink duality for integer forcing"

Connected through hyperedge HE-3 (induced by source paper "an achievable rate region for the three user interference channel based on coset codes"):
  with members:
    - "on the capacity of the finite field counterparts of wireless interference networks"
    - "is non unique decoding necessary"
    - "abelian group codes for source coding and channel coding"
    - "achievable rate region based on coset codes for multiple access channel with states"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "interference alignment from degrees of freedom to constant gap capacity approximations"
    - "interference decoding for deterministic channels"
    - "achievable rates for k user gaussian interference channels"

Connected through hyperedge HE-4 (induced by source paper "trade off between communication and cooperation in the interference channel"):
  with members:
    - "an achievable rate distortion region for multiple descriptions source coding based on coset codes"
    - "sub optimality of the han kobayashi achievable region for interference channels"
    - "an achievable rate distortion region for the multiple descriptions problem"
    - "achievable rate region for three user discrete broadcast channel based on coset codes"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"

Connected through hyperedge HE-5 (induced by source paper "two hop interference channels impact of linear schemes"):
  with members:
    - "capacity results for binary fading interference channels with delayed csit"
    - "two hop interference channels impact of linear time varying schemes"
    - "structured lattice codes for some two user gaussian networks with cognition coordination and two hops"
    - "topological interference management with alternating connectivity"
    - "wireless network information flow a deterministic approach"
    - "interference alignment with asymmetric complex signaling settling the host madsen nosratinia conjecture"
    - "capacity of linear two hop mesh networks with rate splitting decode and forward relaying and cooperation"

Connected through hyperedge HE-6 (induced by source paper "rank matching for multihop multiflow"):
  with members:
    - "topological interference management through index coding"
    - "precoding based network alignment for three unicast sessions"
    - "on the capacity of the finite field counterparts of wireless interference networks"
    - "degrees of freedom of two hop wireless networks everyone gets the entire cake"
    - "multiple unicast capacity of 2 source 2 sink networks"

Connected through hyperedge HE-7 (induced by source paper "structured lattice codes for some two user gaussian networks with cognition coordination and two hops"):
  with members:
    - "real interference alignment exploiting the potential of single antenna systems"
    - "reverse compute and forward a low complexity architecture for downlink distributed antenna systems"
    - "the approximate sum capacity of the symmetric gaussian k user interference channel"
    - "integer forcing mimo linear receivers based on lattice reduction"
    - "compute and forward strategies for cooperative distributed antenna systems"
    - "inner and outer bounds for the gaussian cognitive interference channel and new capacity results"
    - "the degrees of freedom of compute and forward"
    - "quantized compute and forward a low complexity architecture for distributed antenna systems"

Connected through hyperedge HE-8 (induced by source paper "achievable rate region for three user discrete broadcast channel based on coset codes"):
  with members:
    - "an achievable rate region for the three user interference channel based on coset codes"
    - "on the capacity of the finite field counterparts of wireless interference networks"
    - "achievable rate region based on coset codes for multiple access channel with states"
    - "evaluation of marton s inner bound for the general broadcast channel"
    - "on the capacity of abelian group codes over discrete memoryless channels"
    - "the approximate capacity of the many to one and one to many gaussian interference channels"
    - "on broadcast channels with binary inputs and symmetric outputs"
    - "interference alignment and a noisy interference regime for many to one interference channels"

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)