PIE-APT: Abductive Planning over Temporal Dynamic Knowledge Graphs via Incremental Reasoning

arXiv:2607.27287 · cs.AI, cs.LO · Submitted 2026-07-29 · Read on arXiv

cs.AI, cs.LO

Submitted: 2026-07-29

Updated: 2026-09-02

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Consistency — 25× in this paper · explained in 3 episodes
• Knowledge Graph — 21× in this paper · explained in 7 episodes
• Axioms — 19× in this paper · explained in 2 episodes
• Ontology — 18× in this paper · explained in 2 episodes
• Grounding — 15× in this paper · explained in 3 episodes
• Knowledge graphs — 14× in this paper · explained in 2 episodes
• Benchmark — 13× in this paper · explained in 2 episodes
• Dynamic Knowledge Graph — 10× in this paper
• Minimal Hitting Set — 6× in this paper
• Trace — 5× in this paper · explained in 2 episodes
• Unified Framework — 5× in this paper · explained in 5 episodes
• Open World Assumption — 4× in this paper
• Admissibility — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• International Joint Conference on Artificial Intelligence — 2× in this paper
• Abductive Planning for TDKGs — 1× in this paper
• Computational Tractability — 1× in this paper · explained in 2 episodes
• Diffusion Models — 1× in this paper · explained in 6 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Redundancy — 1× in this paper · explained in 2 episodes

Sources

• Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
• A Strategy for Implementing description Temporal Dynamic Algorithms in Dynamic Knowledge Graphs by SPIN

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