mlsanityData to 7 Oct 2026

Just Jump: Dynamic Neighborhood Aggregation in Graph Neural Networks

arXiv 1904.04849 ↗First posted 9 Apr 2019cs.LG stat.MLcited by 20

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Abstract (arXiv)

We propose a dynamic neighborhood aggregation (DNA) procedure guided by (multi-head) attention for representation learning on graphs. In contrast to current graph neural networks which follow a simple neighborhood aggregation scheme, our DNA procedure allows for a selective and node-adaptive aggregation of neighboring embeddings of potentially differing locality. In order to avoid overfitting, we propose to control the channel-wise connections between input and output by making use of grouped linear projections. In a number of transductive node-classification experiments, we demonstrate the effectiveness of our approach.

Key facts. Cited by 20 papers in the map (data through 7 Oct 2026). First posted on arXiv 9 Apr 2019.

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Citing papers per year: 2021: 5; 2022: 1; 2023: 1; 2024: 13.

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  1. 2021Designing the Topology of Graph Neural Networks: A Novel Feature Fusion Perspectivecited by 19
  2. 2023A Graph Neural Network with Negative Message Passing for Graph Coloringcited by 5
  3. 2021Learn Layer-wise Connections in Graph Neural Networkscited by 3
  4. 2024Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodescited by 3
  5. 2021NODE-SELECT: A Graph Neural Network Based On A Selective Propagation Techniquecited by 2
  6. 2024MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Mediacited by 2
  7. 2021Dual GNNs: Graph Neural Network Learning with Limited Supervisioncited by 1
  8. 2021AutoHEnsGNN: Winning Solution to AutoGraph Challenge for KDD Cup 2020cited by 1
  9. 2022Operation-Level Performance Benchmarking of Graph Neural Networks for Scientific Applicationscited by 1
  10. 2024Parameter-Efficient Quantized Mixture-of-Experts Meets Vision-Language Instruction Tuning for Semiconductor Electron Micrograph Analysiscited by 1
  11. 2024HRGR: Enhancing Image Manipulation Detection via Hierarchical Region-aware Graph Reasoningcited by 1
  12. 2024Battery GraphNets : Relational Learning for Lithium-ion Batteries(LiBs) Life Estimationcited by 0
8 more
  1. 2024Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learningcited by 0
  2. 2024Multi-Knowledge Fusion Network for Time Series Representation Learningcited by 0
  3. 2024Foundational Model for Electron Micrograph Analysis: Instruction-Tuning Small-Scale Language-and-Vision Assistant for Enterprise Adoptioncited by 0
  4. 2024Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Modelscited by 0
  5. 2024Hierarchical Network Fusion for Multi-Modal Electron Micrograph Representation Learning with Foundational Large Language Modelscited by 0
  6. 2024EMCNet : Graph-Nets for Electron Micrographs Classificationcited by 0
  7. 2024Multi-Modal Instruction-Tuning Small-Scale Language-and-Vision Assistant for Semiconductor Electron Micrograph Analysiscited by 0
  8. 2024Sparks of Artificial General Intelligence(AGI) in Semiconductor Material Science: Early Explorations into the Next Frontier of Generative AI-Assisted Electron Micrograph Analysiscited by 0