Network Topology

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2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

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  1. Environmental requirements for the use of social information by artificial life agents using evolved plastic artificial neural networks

    Sep 28, 2026Hugh Charterton, James M. Borg, Aniko EkartNeuroevolutionSelf-Evolving Agents

    Aston Centre for AI Research and Application, Aston University, Birmingham, United Kingdom

  2. CableVLA: Simulation-Privileged Global-Local Representation Learning for Cable Routing

    Sep 22, 2026Zhifei Teng, Bo Feng, Xiang Zou +4WiringVision-Language-Action Framework

    State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China. · School of Mathematics, Harbin Institute of Technology, Harbin, China.

  3. Language-encoded network topology enables large language models to reason about complex networks

    Sep 3, 2026Ucchwas Talukder Utsha, Sakib Mostafa, James Zou +1Network ScienceNetwork Topology

    Department of Radiation Oncology, Stanford University, Stanford, California, USA · Department of Electrical Engineering, Stanford University, Stanford, California, USA · Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, California, USA +1

  4. TopoIntent: Compiling Security Intent into Executable, Compliance-Checked Network Topologies

    Aug 13, 2026Xiaokang Qu, Jianliang Ma, Zao Fan +3Network TopologySecurity

    School of Cyber Science and Technology, University of Science and Technology of China, Hefei, China · Topsec Technologies Group Inc., Beijing, China

  5. Discovering Efficient and Explainable Communication Topologies for LLM-based Multi-Agent Systems via Causal Inference

    Aug 13, 2026Junzhi Li, Peng He, Qirui Ji +3Network TopologyCommunication Topologies

    University of Chinese Academy of Sciences · National Key Laboratory of Space Integrated Information System, Institute of Software, Chinese Academy of Sciences · Beijing University of Posts and Telecommunications

  6. Sheaf-theoretic Signal Processing on Graphs: Spectral Theory, Filtering, and Sampling

    Aug 2, 2026Gabriele D'Acunto, Leonardo Di Nino, Paolo Di Lorenzo +1SheafGraph Signal Processing

    Department of Information Engineering, Electronics, and Telecommunications, Sapienza University of Rome, 00184 Rome, Italy · National Inter-University Consortium for Telecommunications (CNIT), Parma, Italy

  7. From Non-Rigid to Rigid: Safe Acquisition of Rigid Communication Graphs under Limited Sensing

    Jul 11, 2026Saharsh, Vedhas Talnikar, Pushpak JagtapMulti-Robot SystemsOptimistic Follow-The-Regularized-Leader

    Department of Cyber Physical Systems · Indian Institute of Science · Bengaluru, 560012, India

  8. Air-Plan: Query-Optimized Topology Selection for Over-the-Air Decentralized Federated Learning

    Jul 5, 2026Kaushal Attaluri, Rebeca P. Diaz-Redondo, Manuel Fernandez VeigaFederated LearningPower Allocation

    ICLab, atlanTTic, University of Vigo

  9. HyphaeDB: A Living Knowledge Topology for Agent-First Memory

    Jun 27, 2026Krishna HalaharviVector DatabaseNetwork Topology

    HyphaeDB

  10. QueenBee Planner: Skill-Evolving Communication Topologies for Token-Efficient LLM Multi-Agent Systems

    Jun 25, 2026Congjia Tian, Yuhang Yao, Jiaming CuiNetwork TopologyPlanner Agent

    Virginia Tech, Blacksburg, VA · Carnegie Mellon University, Pittsburgh, PA

  11. Directed Graph Topology Inference via Graph Filter Identification

    Jun 25, 2026Rasoul Shafipour, Andrei Buciulea, Santiago Segarra +2Network TopologyTopology

    NVIDIA · Dept. of Signal Theory and Comms., King Juan Carlos University · Dept. of Electrical and Computer Eng., Rice University +1

  12. Decentralized Pose Graph Riemannian Optimization for Object-based Multi-Robot SLAM

    Jun 23, 2026Yixian Zhao, Yan Huang, Yang Xu +2Multi-Robot SystemsSimultaneous Localization And Mapping

    College of Control Science and Engineering, Zhejiang University, Hangzhou, 310027, China · Division of Decision and Control Systems, School of EECS, KTH Royal Institute of Technology, Stockholm, SE-100 44, Sweden · Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, 201210, China

  13. Improved Convergence Analysis of Topology Dependence in Decentralized SGD

    Jun 8, 2026Yuki Takezawa, Anastasia Koloskova, Sebastian U. StichDecentralized LearningNetwork Topology

    Toyota Motor Corporation · University of Zurich · CISPA Helmholtz Center for Information Security

  14. Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models

    May 15, 2026Xingjian Wu, Junkai Lu, Siyu Yan +4Mixture-Of-AgentsSwarms

    East China Normal University

  15. Dynamics of the Transformer Residual Stream: Coupling Spectral Geometry to Network Topology

    May 14, 2026Jesseba Fernando, Grigori GuitchountsTransformer Residual StreamsResidual Stream

    Network Science Institute, Northeastern University · Flagship Pioneering

  16. AgentSlimming: Towards Efficient and Cost-Aware Multi-Agent Systems

    May 9, 2026Yulang Chen, Haoxuan Peng, Jinyan Liu +3Multi-Agent WorkflowsNetwork Topology

    1Shanghai Jiao Tong University · 2Nanjing University · 3The University of Sydney +2

  17. NeuroRing: Scaling Spiking Neural Networks via Multi-FPGA Bidirectional Ring Topologies and Stream-Dataflow Architectures

    Apr 30, 2026Muhammad Ihsan Al Hafiz, Artur PodobasSpiking Neural NetworksField-Programmable Gate Arrays

    KTH Royal Institute of Technology, Stockholm, Sweden

  18. Self-Abstraction Learning for Effective and Stable Training of Deep Neural Networks

    Apr 27, 2026Wonyong Cho, Taemin Kim, Jungmin Kim +2Neural NetworkNetwork Topology

    Department of Mathematics, University of Seoul, Seoul 02504, South Korea · Department of Applied Artificial Intelligence, Hansung University, Seoul 02876, South Korea

  19. Towards Near-Real-Time Telemetry-Aware Routing with Neural Routing Algorithms

    Apr 3, 2026Andreas Boltres, Niklas Freymuth, Benjamin Schichtholz +2Bringing Network CodingNetwork Topology

    Autonomous Learning Robots, Karlsruhe Institute of Technology · Institute of Telematics, Karlsruhe Institute of Technology

  20. Dropout Neural Network Training Viewed from a Percolation Perspective

    Dec 15, 2025Finley Devlin, Jaron SandersNeural Network TrainingNeural Network

    Second Foundation, Czechia · Eindhoven University of Technology, The Netherlands