Research map / Graph learning / Graph self-supervised learning
Deep Generative Models for Relational Data with Side Information
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add a second latent-feature layer (ablation) | HLFM · Protein230 | AUC: 0.923 -> 0.956 | Helped |
| add a second latent-feature layer (ablation) | HLFM · NIPS234 | AUC: 0.823 -> 0.951 | Helped |
| add a second latent-feature layer (ablation) | HLFM · data sets with side information | AUC | Helped |
| condition bottom-layer latent features on node attributes (ablation) | two-layer HLFM · data sets with side information | AUC | Helped |
| condition latent features on node attributes (ablation) | two-layer HLFM · Conflicts | AUC | Hurt |
Closest papers by meaning
- Scalable Deep Generative Relational Model with High-Order Node Dependence (NeurIPS 2019 · similarity 0.90)
- Deep Amortized Relational Model with Group-Wise Hierarchical Generative Process (AAAI 2022 · similarity 0.90)
- Relational Deep Learning: A Deep Latent Variable Model for Link Prediction (AAAI 2017 · similarity 0.89)
- Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis (AAAI 2024 · similarity 0.86)
- Harnessing Multiple Correlated Networks for Exact Community Recovery (NeurIPS 2024 · similarity 0.86)
- Revisiting Link Prediction: a data perspective (ICLR 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.