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Methods/Fragmentation

Fragmentation

Computer VisionIntroduced 2000123 papers

Description

Given a pattern $P,$ that is more complicated than the patterns, we fragment $P$ into simpler patterns such that their exact count is known. In the subgraph GNN proposed earlier, look into the subgraph of the host graph. We have seen that this technique is scalable on large graphs. Also, we have seen that subgraph GNN is more expressive and efficient than traditional GNN. So, we tried to explore the expressibility when the pattern is fragmented into smaller subpatterns.

Papers Using This Method

From Semantic Web and MAS to Agentic AI: A Unified Narrative of the Web of Agents2025-07-14 Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security2025-07-11 Graft: Integrating the Domain Knowledge via Efficient Parameter Synergy for MLLMs2025-06-30 Tube into pearls: A membrane-driven pearling instability shapes platelet biogenesis2025-06-24 MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis2025-06-22 From Data to Decision: Data-Centric Infrastructure for Reproducible ML in Collaborative eScience2025-06-19 OneRec Technical Report2025-06-16 OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics2025-06-14 Paged Attention Meets FlexAttention: Unlocking Long-Context Efficiency in Deployed Inference2025-06-08 Pre-training for Recommendation Unlearning2025-05-28 Collaborative Agentic AI Needs Interoperability Across Ecosystems2025-05-25 Scientific machine learning in Hydrology: a unified perspective2025-05-24 Date Fragments: A Hidden Bottleneck of Tokenization for Temporal Reasoning2025-05-22 GSDFuse: Capturing Cognitive Inconsistencies from Multi-Dimensional Weak Signals in Social Media Steganalysis2025-05-20 Polymer Data Challenges in the AI Era: Bridging Gaps for Next-Generation Energy Materials2025-05-15 FLUXLAYER: High-Performance Design for Cross-chain Fragmented Liquidity2025-05-14 Enhancing Chemical Reaction and Retrosynthesis Prediction with Large Language Model and Dual-task Learning2025-05-05 Ask2Loc: Learning to Locate Instructional Visual Answers by Asking Questions2025-04-22 Leveraging Language Models for Automated Patient Record Linkage2025-04-21 CAGS: Open-Vocabulary 3D Scene Understanding with Context-Aware Gaussian Splatting2025-04-16