| HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity | Mar 11, 2025 | Graph LearningGraph Matching | CodeCode Available | 0 |
| Towards Clustering-friendly Representations: Subspace Clustering via Graph Filtering | Jun 18, 2021 | ClusteringGraph Similarity | CodeCode Available | 0 |
| Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning | Jun 16, 2022 | BenchmarkingClustering | CodeCode Available | 0 |
| A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening | Dec 1, 2019 | Graph Similarity | CodeCode Available | 0 |
| Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures | Mar 11, 2019 | Graph SimilarityLink Prediction | CodeCode Available | 0 |
| Image-to-Image Retrieval by Learning Similarity between Scene Graphs | Dec 29, 2020 | Graph SimilarityImage Retrieval | CodeCode Available | 0 |
| Privacy-Preserved Neural Graph Similarity Learning | Oct 21, 2022 | Graph MatchingGraph Similarity | CodeCode Available | 0 |
| Inferring Networks From Random Walk-Based Node Similarities | Dec 1, 2018 | Anomaly DetectionClustering | CodeCode Available | 0 |
| DDGK: Learning Graph Representations for Deep Divergence Graph Kernels | Apr 21, 2019 | Feature EngineeringGraph Attention | CodeCode Available | 0 |
| Joint graph learning from Gaussian observations in the presence of hidden nodes | Dec 4, 2022 | Graph LearningGraph Similarity | CodeCode Available | 0 |
