Workshop Papers
Submissions ranging from 4 to 8 pages of main content with up to 2 additional pages for references and an optional appendix, presented as oral or poster presentations.
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 natural language processing, computer vision, graph learning, knowledge discovery, and scientific AI by leveraging non-Euclidean geometries such as hyperbolic, spherical, and mixed-curvature spaces. The workshop brings together researchers to explore theoretical foundations, practical implementations, and applications of geometric modeling in large-scale AI systems.
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 must be in PDF format and formatted according to the ACM sigconf template.
- Papers are reviewed via a single-blind review process.
- Accepted papers may be published in the Companion Proceedings of TheWebConf 2025 if camera-ready by the deadline; otherwise, they may be submitted elsewhere.
- Previously published or under-review work is welcome but will not be included in the Companion Proceedings.
- All accepted papers will be archived on the workshop’s website.
- The workshop is planned as an in-person event following KDD 2026 workshop policy.
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