Tag: GNN

All the articles with the tag "GNN".

• GCN-Based Throughput-Oriented Handover Management in Dense 5G Vehicular Networks

  Published: 14 May, 2025 |  at  11:06 AM

  

  91.51 🤔

  This paper introduces TH-GCN, a Graph Convolutional Network-based approach for handover management in dense 5G vehicular networks, which models dynamic network conditions to reduce handovers by up to 78% and improve signal quality and throughput through real-time, topology-aware decisions.

• Graph Attention is Not Always Beneficial: A Theoretical Analysis of Graph Attention Mechanisms via Contextual Stochastic Block Models

  Published: 16 May, 2025 |  at  11:30 AM

  

  89.11 🤔

  This paper provides a theoretical analysis using Contextual Stochastic Block Models to demonstrate that graph attention mechanisms are beneficial for node classification only when structure noise exceeds feature noise, proposes a multi-layer GAT to achieve perfect classification at lower SNR thresholds, and validates these findings through synthetic and real-world experiments.

• An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks

  Published: 15 May, 2025 |  at  11:06 AM

  

  88.71 🤔

  This paper introduces a GPU sparse kernel generator for the Clebsch-Gordon tensor product in O(3)-equivariant deep networks, achieving significant speedups (up to 10x over e3nn and 1.3x-2.0x over cuEquivariance) by leveraging JIT compilation, static analysis, and kernel fusion, particularly enhancing performance in computational chemistry models like Nequip and MACE.