Tag: Graph Data

All the articles with the tag "Graph Data".

• Contaminated Multivariate Time-Series Anomaly Detection with Spatio-Temporal Graph Conditional Diffusion Models

  Published: 16 May, 2025 |  at  11:29 AM

  

  94.27 🤔

  TSAD-C introduces a pioneering unsupervised framework for multivariate time-series anomaly detection on contaminated data, using a Decontaminator with S4-based diffusion, long-range dependency modeling via a time-then-graph approach, and anomaly scoring, achieving state-of-the-art performance across diverse datasets.

• 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.

• PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset

  Published: 4 May, 2025 |  at  04:26 PM

  

  55.37 🤔

  本文提出 PennyLang 数据集和 RAG/GraphRAG 框架，通过提升 LLM 在 PennyLane 量子代码生成中的准确性和正确性，填补了 AI 辅助量子编程的空白。