Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Neural network categorization accuracy with categorical graph neural networks

Neural network categorization accuracy with categorical graph neural networks

US Patent 11960573 · Granted Apr 16, 2024

Estimated economic value: $292,834,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Door stop and door frame assembly2025
Look ahead strategy for trie-based beam search in generative retrieval2025
Multi-task sequence tagging with injection of supplemental information2025
Transformer-based neural network including a mask attention network2025
Resource-efficient sequence generation with dual-level contrastive learning2024
Generating electronic summary documents for landing pages2024
Generating electronic summary documents for landing pages2024
Learning graph representations using hierarchical transformers for content recom2023
Query rewriting and interactive inquiry framework2023
Query rewriting and interactive inquiry framework2023
Neural network categorization accuracy with categorical graph neural networks2023
Neural network categorization accuracy with categorical graph neural networks2023