Research map / Graph learning / Graph self-supervised learning
Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning
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.
Closest papers by meaning
- Biologically Plausible Brain Graph Transformer (ICLR 2025 · similarity 0.89)
- Long-range Brain Graph Transformer (NeurIPS 2024 · similarity 0.88)
- Causal Invariance-aware Augmentation for Brain Graph Contrastive Learning (ICML 2025 · similarity 0.87)
- Information Bottleneck-Guided Adaptive Hypergraph Transformer for Brain Disease Diagnosis (NeurIPS 2026 · similarity 0.86)
- Do We Really Need Message Passing in Brain Network Modeling? (ICML 2025 · similarity 0.85)
- BrainMAP: Learning Multiple Activation Pathways in Brain Networks (AAAI 2025 · 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.
