mlsanityData to 7 Oct 2026

GIDN: A Lightweight Graph Inception Diffusion Network for High-efficient Link Prediction

arXiv 2210.01301 ↗First posted 4 Oct 2022cs.LG cs.SIcited by 5

Not on the map. Why?

Abstract (arXiv)

In this paper, we propose a Graph Inception Diffusion Networks(GIDN) model. This model generalizes graph diffusion in different feature spaces, and uses the inception module to avoid the large amount of computations caused by complex network structures. We evaluate GIDN model on Open Graph Benchmark(OGB) datasets, reached an 11% higher performance than AGDN on ogbl-collab dataset.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 23 of its 44 references that are in the map. First posted on arXiv 4 Oct 2022.

Builds on

23 of 44 references.

References · 23

  1. 2020Open Graph Benchmark: Datasets for Machine Learning on Graphscited by 2,148
  2. 2016node2vec: Scalable Feature Learning for Networkscited by 1,913
  3. 2014DeepWalk: Online Learning of Social Representationscited by 1,543
  4. 2013Spectral Networks and Locally Connected Networks on Graphscited by 1,097
  5. 2019RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Spacecited by 893
  6. 2018Link Prediction Based on Graph Neural Networkscited by 829
  7. 2020A Survey on Knowledge Graphs: Representation, Acquisition and Applicationscited by 643
  8. 2020Knowledge Graphscited by 619
  9. 2015LINE: Large-scale Information Network Embeddingcited by 582
  10. 2016Learning Convolutional Neural Networks for Graphscited by 314
  11. 2020SIGN: Scalable Inception Graph Neural Networkscited by 283
  12. 2021Neural Bellman-Ford Networks: A General Graph Neural Network Framework for Link Predictioncited by 273
11 more
  1. 2015Diffusion-Convolutional Neural Networkscited by 268
  2. 2015A Review of Relational Machine Learning for Knowledge Graphscited by 264
  3. 2020Low-Dimensional Hyperbolic Knowledge Graph Embeddingscited by 195
  4. 2017Variational Reasoning for Question Answering with Knowledge Graphcited by 170
  5. 2016Discriminative Embeddings of Latent Variable Models for Structured Datacited by 130
  6. 2020Line Graph Neural Networks for Link Predictioncited by 89
  7. 2019Probabilistic Logic Neural Networks for Reasoningcited by 69
  8. 2018Improving Question Answering by Commonsense-Based Pre-Trainingcited by 66
  9. 2021Pairwise Learning for Neural Link Predictioncited by 23
  10. 2018Learning beyond datasets: Knowledge Graph Augmented Neural Networks for Natural language Processingcited by 15
  11. 2021Topological Regularization for Graph Neural Networks Augmentationcited by 8

Built on by

Cited by year

Citing papers per year: 2023: 3; 2024: 1; 2025: 1.

5 papers.

  1. 2023Neural Common Neighbor with Completion for Link Predictioncited by 64
  2. 2023Efficient Link Prediction via GNN Layers Induced by Negative Samplingcited by 6
  3. 2023Ensemble Learning for Graph Neural Networkscited by 2
  4. 2024PROXI: Challenging the GNNs for Link Predictioncited by 1
  5. 2025OCN: Effectively Utilizing Higher-Order Common Neighbors for Better Link Predictioncited by 1