mlsanityData to 14 Oct 2026

Open Your Eyes: Vision Enhances Message Passing Neural Networks in Link Prediction

arXiv 2505.08266 ↗First posted 13 May 2025cs.CV cs.AI cs.LGcited by 2

Not on the map. Why?

Abstract (arXiv)

Message-passing graph neural networks (MPNNs) and structural features (SFs) are cornerstones for the link prediction task. However, as a common and intuitive mode of understanding, the potential of visual perception has been overlooked in the MPNN community. For the first time, we equip MPNNs with vision structural awareness by proposing an effective framework called Graph Vision Network (GVN), along with a more efficient variant (E-GVN). Extensive empirical results demonstrate that with the proposed frameworks, GVN consistently benefits from the vision enhancement across seven link prediction datasets, including challenging large-scale graphs. Such improvements are compatible with existing state-of-the-art (SOTA) methods and GVNs achieve new SOTA results, thereby underscoring a promising novel direction for link prediction.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 36 of its 60 references that are in the map. First posted on arXiv 13 May 2025.

Builds on

36 of 60 references.

References · 36

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2020An Image is Worth 16x16 Words: Transformers for Image Recognition at Scalecited by 30,186
  3. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  4. 2016Semi-Supervised Classification with Graph Convolutional Networkscited by 11,361
  5. 2017Graph Attention Networkscited by 8,923
  6. 2017Inductive Representation Learning on Large Graphscited by 6,320
  7. 2018How Powerful are Graph Neural Networks?cited by 4,393
  8. 2019A Comprehensive Survey on Graph Neural Networkscited by 2,919
  9. 2015VQA: Visual Question Answeringcited by 2,506
  10. 2020Open Graph Benchmark: Datasets for Machine Learning on Graphscited by 2,163
  11. 2016node2vec: Scalable Feature Learning for Networkscited by 1,918
  12. 2014DeepWalk: Online Learning of Social Representationscited by 1,547
24 more
  1. 2020LightGCN: Simplifying and Powering Graph Convolution Network for Recommendationcited by 1,139
  2. 2018Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learningcited by 1,102
  3. 2016Geometric deep learning: going beyond Euclidean datacited by 1,048
  4. 2023Vision-Language Models for Vision Tasks: A Surveycited by 839
  5. 2018Link Prediction Based on Graph Neural Networkscited by 832
  6. 2019GraphSAINT: Graph Sampling Based Inductive Learning Methodcited by 618
  7. 2019Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networkscited by 541
  8. 2021Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Predictioncited by 275
  9. 2020Can Graph Neural Networks Count Substructures?cited by 236
  10. 2021Identity-aware Graph Neural Networkscited by 198
  11. 2022Structure-Aware Transformer for Graph Representation Learningcited by 194
  12. 2020Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learningcited by 149
  13. 2022Graph Neural Networks for Link Prediction with Subgraph Sketchingcited by 81
  14. 2022Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Predictioncited by 78
  15. 2023Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarkingcited by 69
  16. 2023Neural Common Neighbor with Completion for Link Predictioncited by 64
  17. 2018On Weisfeiler-Leman Invariance: Subgraph Counts and Related Graph Propertiescited by 63
  18. 2023Large Language Models can be Guided to Evade AI-Generated Text Detectioncited by 44
  19. 2024KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph Completioncited by 36
  20. 2024GITA: Graph to Visual and Textual Integration for Vision-Language Graph Reasoningcited by 33
  21. 2023Which Modality should I use -- Text, Motif, or Image? : Understanding Graphs with Large Language Modelscited by 15
  22. 2023An Efficient Subgraph GNN with Provable Substructure Counting Powercited by 13
  23. 2023Less is More: Understanding Word-level Textual Adversarial Attack via n-gram Frequency Descendcited by 9
  24. 2024UPCS: Unbiased Persona Construction for Dialogue Generationcited by 1

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 1; 2026: 1.

2 papers.

  1. 2025Safe Delta: Consistently Preserving Safety when Fine-Tuning LLMs on Diverse Datasetscited by 18
  2. 2026Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolutioncited by 1