Workshop Papers
Submissions were accepted in the form of papers presented as oral or poster presentations, with camera-ready revisions required for accepted papers.
Machine Learning/CORE Unranked
GALOP 2026
GALOP Workshop at KDD 2026
The GALOP 2026 workshop at KDD 2026 focuses on geometric representation spaces, geometry-aware architectures, and learning objectives for large pre-trained models, aiming to improve foundation models in NLP, computer vision, graph learning, knowledge discovery, and scientific AI by leveraging non-Euclidean geometries like hyperbolic, spherical, and mixed-curvature spaces. It brings together researchers to explore how geometric inductive biases can enhance model expressiveness, scalability, and alignment with structured data.
Key deadlines
Verified September 9, 2026Full paper
June 1, 2026
AoE
Workshop timeline
Submission and decisions
Full paperKey deadline
June 1, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
Topics of Interest
Hyperbolic, spherical, and mixed curvature embeddings for large pre-trained modelsNon Euclidean word, sentence, document, and multimodal representationsGeometric transformers and manifold aware attention mechanismsEquivariant and invariant architectures for foundation modelsMetric learning and contrastive objectives with geometric constraintsCurvature aware optimization on Riemannian manifoldsAlignment and fusion across different geometric spacesTheory for geometric large pre-trained models, including expressiveness and generalizationApplications in natural language processing, computer vision, graph learning, knowledge discovery, and scientific discoveryBenchmarks, evaluation protocols, open source tools, visualization, and reproducibility resources
Policies worth checking twice
- Submissions were reviewed through a single-blind review process.
- Accepted papers were presented as oral or poster presentations, as indicated in the decision notification.
- The workshop followed the current KDD 2026 workshop policy and was planned as an in-person event.
- The submission period has closed; only camera-ready revisions for accepted papers were accepted after June 15, 2026.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Official workshop siteAAAI 2026 Tutorial: Hyperbolic Geometry for Foundation ModelsCall for PapersKDD 2025 Tutorial: Hyperbolic Deep Learning for Foundation ModelsKDD 2026 Tutorial: Hyperbolic Learning for Structured Data, Knowledge, and MemorCall for Papers - NeurIPS 2025 Workshop
Last verified September 9, 2026