Methods › General › Rule Learners › GPFL
Graph Path Feature Learning
GPFL
Introduced by Yulong Gu et al. in Towards Learning Instantiated Logical Rules from Knowledge Graphs
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
Graph Path Feature Learning is a probabilistic rule learner optimized to mine instantiated first-order logic rules from knowledge graphs. Instantiated rules contain constants extracted from KGs. Compared to abstract rules that contain no constants, instantiated rules are capable of explaining and expressing concepts in more detail. GPFL utilizes a novel two-stage rule generation mechanism that first generalizes extracted paths into templates that are acyclic abstract rules until a certain degree of template saturation is achieved, then specializes the generated templates into instantiated rules.
Papers archive 2025-07-28
3 shown of 3, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
-
GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning 26 Mar 2024 · 0 repositories · arXiv:2403.17833
-
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning 20 Aug 2023 · 4 repositories · arXiv:2308.10279Syntology ran 9 of 17 samples · 8 unverified · 7 pointer-only (licence)
-
Towards Learning Instantiated Logical Rules from Knowledge Graphs 13 Mar 2020 · 1 repository · arXiv:2003.06071
Tasks archive 2025-07-28
7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Federated Learning | 2 |
| Fairness | 1 |
| Inductive knowledge graph completion | 1 |
| Knowledge Graph Completion | 1 |
| Knowledge Graphs | 1 |
| Personalized Federated Learning | 1 |
| Privacy Preserving | 1 |
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections