Cover Image

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Gao, Yisen, Bai, Jiaxin, Huang, Yi, Fu, Xingcheng, Sun, Qingyun, Song, Yangqiu
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
by: Gao, Yisen, et al.
Published: (2025)

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction
by: Gao, Yisen, et al.
Published: (2025)

Advancing Abductive Reasoning in Knowledge Graphs through Complex Logical Hypothesis Generation
by: Bai, Jiaxin, et al.
Published: (2023)

KGPFN: Unlocking the Potential of Knowledge Graph Foundation Model via In-Context Learning
by: Gao, Yisen, et al.
Published: (2026)

Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space
by: Fu, Xingcheng, et al.
Published: (2026)

DixitWorld: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay
by: Mo, Yunxiang, et al.
Published: (2025)

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts
by: Guo, Zihao, et al.
Published: (2024)

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
by: Luo, Jiayi, et al.
Published: (2025)

DeepRefine: Agent-Compiled Knowledge Refinement via Reinforcement Learning
by: Huang, Haoyu, et al.
Published: (2026)

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
by: Guo, Zihao, et al.
Published: (2025)

RAG-GFM: Overcoming In-Memory Bottlenecks in Graph Foundation Models via Retrieval-Augmented Generation
by: Yuan, Haonan, et al.
Published: (2026)

Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models
by: Abdaljalil, Samir, et al.
Published: (2025)

AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
by: Huang, Haoyu, et al.
Published: (2025)

Structured Abductive-Deductive-Inductive Reasoning for LLMs via Algebraic Invariants
by: Gilda, Sankalp, et al.
Published: (2026)

Dynamic Graph Information Bottleneck
by: Yuan, Haonan, et al.
Published: (2024)

Zero-shot Generalizable Graph Anomaly Detection with Mixture of Riemannian Experts
by: Zhao, Xinyu, et al.
Published: (2026)

Decoupled and Divergence-Conditioned Prompt for Multi-domain Dynamic Graph Foundation Models
by: Yuan, Haonan, et al.
Published: (2026)

Complex Reasoning over Logical Queries on Commonsense Knowledge Graphs
by: Fang, Tianqing, et al.
Published: (2024)

AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction
by: Tsang, Hong Ting, et al.
Published: (2025)

MASLegalBench: Benchmarking Multi-Agent Systems in Deductive Legal Reasoning
by: Jing, Huihao, et al.
Published: (2025)

Understanding Inter-Session Intentions via Complex Logical Reasoning
by: Bai, Jiaxin, et al.
Published: (2023)

Intention Knowledge Graph Construction for User Intention Relation Modeling
by: Bai, Jiaxin, et al.
Published: (2024)

LogiDynamics: Unraveling the Dynamics of Inductive, Abductive and Deductive Logical Inferences in LLM Reasoning
by: Zheng, Tianshi, et al.
Published: (2025)

Privacy Auditing of Multi-domain Graph Pre-trained Model under Membership Inference Attacks
by: Luo, Jiayi, et al.
Published: (2025)

Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models
by: Luo, Jiayi, et al.
Published: (2025)

Graph of States: Solving Abductive Tasks with Large Language Models
by: Luo, Yu, et al.
Published: (2026)

Wiring the 'Why': A Unified Taxonomy and Survey of Abductive Reasoning in LLMs
by: Salimi, Moein, et al.
Published: (2026)

Abductive Reasoning with Probabilistic Commonsense
by: Cotnareanu, Joseph, et al.
Published: (2026)

Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
by: Cheng, Kewei, et al.
Published: (2024)

Hyperbolic Geometric Latent Diffusion Model for Graph Generation
by: Fu, Xingcheng, et al.
Published: (2024)

Extending Complex Logical Queries on Uncertain Knowledge Graphs
by: Fei, Weizhi, et al.
Published: (2024)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs
by: Hu, Qi, et al.
Published: (2024)

Meta Operator for Complex Query Answering on Knowledge Graphs
by: Yin, Hang, et al.
Published: (2024)

CodeGraph: Enhancing Graph Reasoning of LLMs with Code
by: Cai, Qiaolong, et al.
Published: (2024)

A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation
by: Chen, Kai, et al.
Published: (2024)

Robust Graph Condensation via Classification Complexity Mitigation
by: Luo, Jiayi, et al.
Published: (2025)

SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning
by: Shen, Zichao, et al.
Published: (2025)

MADE: Graph Backdoor Defense with Masked Unlearning
by: Lin, Xiao, et al.
Published: (2024)

Abductive Symbolic Solver on Abstraction and Reasoning Corpus
by: Lim, Mintaek, et al.
Published: (2024)

UniRel: Relation-Centric Knowledge Graph Question Answering with RL-Tuned LLM Reasoning
by: Tang, Yinxu, et al.
Published: (2025)