Saved in:
| Main Authors: | Liu, Lihui, Wang, Zihao, Zhou, Dawei, Wang, Ruijie, Yan, Yuchen, Xiong, Bo, He, Sihong, Shu, Kai, Tong, Hanghang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.03720 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective
by: Liu, Lihui, et al.
Published: (2024)
by: Liu, Lihui, et al.
Published: (2024)
Conversational Question Answering with Reformulations over Knowledge Graph
by: Liu, Lihui, et al.
Published: (2023)
by: Liu, Lihui, et al.
Published: (2023)
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
by: Liu, Lihui, et al.
Published: (2024)
by: Liu, Lihui, et al.
Published: (2024)
Weak TransNet: A Petrov-Galerkin based neural network method for solving elliptic PDEs
by: Xu, Zhihang, et al.
Published: (2025)
by: Xu, Zhihang, et al.
Published: (2025)
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
by: Li, Yaohui, et al.
Published: (2024)
by: Li, Yaohui, et al.
Published: (2024)
Adapting Knowledge for Few-shot Table-to-Text Generation
by: Guo, Zhixin, et al.
Published: (2023)
by: Guo, Zhixin, et al.
Published: (2023)
Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph Completion
by: Zhao, Zicheng, et al.
Published: (2024)
by: Zhao, Zicheng, et al.
Published: (2024)
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
by: Xu, Yao, et al.
Published: (2024)
by: Xu, Yao, et al.
Published: (2024)
Explainable Few-shot Knowledge Tracing
by: Li, Haoxuan, et al.
Published: (2024)
by: Li, Haoxuan, et al.
Published: (2024)
Improving Factuality in LLMs via Inference-Time Knowledge Graph Construction
by: Wu, Shanglin, et al.
Published: (2025)
by: Wu, Shanglin, et al.
Published: (2025)
Conjugate Relation Modeling for Few-Shot Knowledge Graph Completion
by: Wang, Zilong, et al.
Published: (2025)
by: Wang, Zilong, et al.
Published: (2025)
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
by: Liu, Haochen, et al.
Published: (2024)
by: Liu, Haochen, et al.
Published: (2024)
Latte: Transfering LLMs` Latent-level Knowledge for Few-shot Tabular Learning
by: Shi, Ruxue, et al.
Published: (2025)
by: Shi, Ruxue, et al.
Published: (2025)
Uncertainty-Aware Relational Graph Neural Network for Few-Shot Knowledge Graph Completion
by: Li, Qian, et al.
Published: (2024)
by: Li, Qian, et al.
Published: (2024)
Taming Knowledge Conflicts in Language Models
by: Li, Gaotang, et al.
Published: (2025)
by: Li, Gaotang, et al.
Published: (2025)
SCPRM: A Schema-aware Cumulative Process Reward Model for Knowledge Graph Question Answering
by: Chen, Jiujiu, et al.
Published: (2026)
by: Chen, Jiujiu, et al.
Published: (2026)
THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024)
by: Yan, Yuchen, et al.
Published: (2024)
$\mathbb{R}^{2k}$ is Theoretically Large Enough for Embedding-based Top-$k$ Retrieval
by: Wang, Zihao, et al.
Published: (2026)
by: Wang, Zihao, et al.
Published: (2026)
Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion
by: Shan, Yongxue, et al.
Published: (2024)
by: Shan, Yongxue, et al.
Published: (2024)
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction
by: Wang, Zeyu, et al.
Published: (2024)
by: Wang, Zeyu, et al.
Published: (2024)
Hierarchical Relational Learning for Few-Shot Knowledge Graph Completion
by: Wu, Han, et al.
Published: (2022)
by: Wu, Han, et al.
Published: (2022)
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context
by: Chen, Jianfang, et al.
Published: (2025)
by: Chen, Jianfang, et al.
Published: (2025)
Contextualization Distillation from Large Language Model for Knowledge Graph Completion
by: Li, Dawei, et al.
Published: (2024)
by: Li, Dawei, et al.
Published: (2024)
Relation-Aware Network with Attention-Based Loss for Few-Shot Knowledge Graph Completion
by: Qiao, Qiao, et al.
Published: (2023)
by: Qiao, Qiao, et al.
Published: (2023)
Knowledge NeRF: Few-shot Novel View Synthesis for Dynamic Articulated Objects
by: Cai, Wenxiao, et al.
Published: (2024)
by: Cai, Wenxiao, et al.
Published: (2024)
FOCUS: Knowledge-enhanced Adaptive Visual Compression for Few-shot Whole Slide Image Classification
by: Guo, Zhengrui, et al.
Published: (2024)
by: Guo, Zhengrui, et al.
Published: (2024)
Cumulative Path-Level Semantic Reasoning for Inductive Knowledge Graph Completion
by: Wang, Jiapu, et al.
Published: (2026)
by: Wang, Jiapu, et al.
Published: (2026)
TA-KAND: Two-stage Attention Triple Enhancement and U-KAN based Diffusion For Few-shot Knowledge Graph Completion
by: Gao, Xinyu
Published: (2025)
by: Gao, Xinyu
Published: (2025)
Zero-Knowledge Verifiable Graph Query Evaluation via Expansion-Centric Operator Decomposition
by: Wu, Hao, et al.
Published: (2025)
by: Wu, Hao, et al.
Published: (2025)
BioGraphFusion: Graph Knowledge Embedding for Biological Completion and Reasoning
by: Lin, Yitong, et al.
Published: (2025)
by: Lin, Yitong, et al.
Published: (2025)
Deep Sparse Latent Feature Models for Knowledge Graph Completion
by: Li, Haotian, et al.
Published: (2024)
by: Li, Haotian, et al.
Published: (2024)
FLAME: Empowering Frozen LLMs for Knowledge Graph Completion
by: Xue, Bo, et al.
Published: (2024)
by: Xue, Bo, et al.
Published: (2024)
Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)
by: Wang, Ruijie, et al.
Published: (2019)
What Do LLMs Need to Understand Graphs: A Survey of Parametric Representation of Graphs
by: Fu, Dongqi, et al.
Published: (2024)
by: Fu, Dongqi, et al.
Published: (2024)
Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)
by: Yao, Siyu, et al.
Published: (2019)
Soft Reasoning Paths for Knowledge Graph Completion
by: Hou, Yanning, et al.
Published: (2025)
by: Hou, Yanning, et al.
Published: (2025)
PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)
by: Zheng, Lecheng, et al.
Published: (2024)
GraphTide: Augmenting Knowledge-Intensive Text with Progressive Nested Graph
by: Qian, Xin, et al.
Published: (2026)
by: Qian, Xin, et al.
Published: (2026)
Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
by: Zhou, Zhanke, et al.
Published: (2024)
by: Zhou, Zhanke, et al.
Published: (2024)
KERMIT: Knowledge Graph Completion of Enhanced Relation Modeling with Inverse Transformation
by: Li, Haotian, et al.
Published: (2023)
by: Li, Haotian, et al.
Published: (2023)
Similar Items
-
Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective
by: Liu, Lihui, et al.
Published: (2024) -
Conversational Question Answering with Reformulations over Knowledge Graph
by: Liu, Lihui, et al.
Published: (2023) -
Logic Query of Thoughts: Guiding Large Language Models to Answer Complex Logic Queries with Knowledge Graphs
by: Liu, Lihui, et al.
Published: (2024) -
Weak TransNet: A Petrov-Galerkin based neural network method for solving elliptic PDEs
by: Xu, Zhihang, et al.
Published: (2025) -
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning
by: Li, Yaohui, et al.
Published: (2024)