APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Zihao, Fu, Dongqi, Ai, Mengting, He, Jingrui |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning from Uncertain Data: From Possible Worlds to Possible Models
by: Zhu, Jiongli, et al.
Published: (2024)
by: Zhu, Jiongli, et al.
Published: (2024)
Robust Clustering using Hyperdimensional Computing
by: Ge, Lulu, et al.
Published: (2023)
by: Ge, Lulu, et al.
Published: (2023)
Improving Neural-based Classification with Logical Background Knowledge
by: Ledaguenel, Arthur, et al.
Published: (2024)
by: Ledaguenel, Arthur, et al.
Published: (2024)
Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
by: Labre, Marcelo
Published: (2026)
by: Labre, Marcelo
Published: (2026)
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025)
by: Jiang, Nan, et al.
Published: (2025)
ViSymRe: Vision Multimodal Symbolic Regression
by: Li, Da, et al.
Published: (2024)
by: Li, Da, et al.
Published: (2024)
UniSymNet: A Unified Symbolic Network Guided by Transformer
by: Li, Xinxin, et al.
Published: (2025)
by: Li, Xinxin, et al.
Published: (2025)
Neurosymbolic LoRA: Why and When to Tune Weights vs. Rewrite Prompts
by: Wang, Kevin, et al.
Published: (2026)
by: Wang, Kevin, et al.
Published: (2026)
Active learning of digenic functions with boolean matrix logic programming
by: Ai, Lun, et al.
Published: (2024)
by: Ai, Lun, et al.
Published: (2024)
AlphaIntegrator: Transformer Action Search for Symbolic Integration Proofs
by: Ünsal, Mert, et al.
Published: (2024)
by: Ünsal, Mert, et al.
Published: (2024)
Neural Concept Binder
by: Stammer, Wolfgang, et al.
Published: (2024)
by: Stammer, Wolfgang, et al.
Published: (2024)
Generalized Holographic Reduced Representations
by: Yeung, Calvin, et al.
Published: (2024)
by: Yeung, Calvin, et al.
Published: (2024)
Automated Loss function Search for Class-imbalanced Node Classification
by: Guo, Xinyu, et al.
Published: (2024)
by: Guo, Xinyu, et al.
Published: (2024)
Towards Learning Abductive Reasoning using VSA Distributed Representations
by: Camposampiero, Giacomo, et al.
Published: (2024)
by: Camposampiero, Giacomo, et al.
Published: (2024)
Towards Learning to Reason: Comparing LLMs with Neuro-Symbolic on Arithmetic Relations in Abstract Reasoning
by: Hersche, Michael, et al.
Published: (2024)
by: Hersche, Michael, et al.
Published: (2024)
Bootstrapping OTS-Funcimg Pre-training Model (Botfip) -- A Comprehensive Symbolic Regression Framework
by: Chen, Tianhao, et al.
Published: (2024)
by: Chen, Tianhao, et al.
Published: (2024)
Terminating Differentiable Tree Experts
by: Thomm, Jonathan, et al.
Published: (2024)
by: Thomm, Jonathan, et al.
Published: (2024)
Unsupervised Symbolic Anomaly Detection
by: Hossain, Md Maruf, et al.
Published: (2026)
by: Hossain, Md Maruf, et al.
Published: (2026)
Agent-centric learning: from external reward maximization to internal knowledge curation
by: Zhou, Hanqi, et al.
Published: (2025)
by: Zhou, Hanqi, et al.
Published: (2025)
Auditable Unit-Aware Thresholds in Symbolic Regression via Logistic-Gated Operators
by: Deng, Ou, et al.
Published: (2025)
by: Deng, Ou, et al.
Published: (2025)
Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework
by: Hu, Chengpeng, et al.
Published: (2026)
by: Hu, Chengpeng, et al.
Published: (2026)
Symbolic Foundation Regressor on Complex Networks
by: Liu, Weiting, et al.
Published: (2025)
by: Liu, Weiting, et al.
Published: (2025)
Breaking the Simplification Bottleneck in Amortized Neural Symbolic Regression
by: Saegert, Paul, et al.
Published: (2026)
by: Saegert, Paul, et al.
Published: (2026)
The Neural Compiler: Program-to-Network Translation for Hybrid Scientific Machine Learning
by: Sheneman, Lucas
Published: (2026)
by: Sheneman, Lucas
Published: (2026)
Interactive Symbolic Regression through Offline Reinforcement Learning: A Co-Design Framework
by: Tian, Yuan, et al.
Published: (2025)
by: Tian, Yuan, et al.
Published: (2025)
Library learning with e-graphs on jazz harmony
by: Ren, Zeng, et al.
Published: (2026)
by: Ren, Zeng, et al.
Published: (2026)
Unlocking the Potential of Generative AI through Neuro-Symbolic Architectures: Benefits and Limitations
by: Bougzime, Oualid, et al.
Published: (2025)
by: Bougzime, Oualid, et al.
Published: (2025)
Certified geometric robustness -- Super-DeepG
by: Cohen, Noémie, et al.
Published: (2026)
by: Cohen, Noémie, et al.
Published: (2026)
Multi-Operational Mathematical Derivations in Latent Space
by: Valentino, Marco, et al.
Published: (2023)
by: Valentino, Marco, et al.
Published: (2023)
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
by: Taskin, Bilge, et al.
Published: (2025)
by: Taskin, Bilge, et al.
Published: (2025)
NoSQL Graph Databases: an overview
by: Santos, Veronica, et al.
Published: (2024)
by: Santos, Veronica, et al.
Published: (2024)
Guiding Genetic Programming with Graph Neural Networks
by: Wyrwiński, Piotr, et al.
Published: (2024)
by: Wyrwiński, Piotr, et al.
Published: (2024)
ANSR-DT: An Adaptive Neuro-Symbolic Learning and Reasoning Framework for Digital Twins
by: Hakim, Safayat Bin, et al.
Published: (2025)
by: Hakim, Safayat Bin, et al.
Published: (2025)
NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework
by: Deng, Zihao, et al.
Published: (2025)
by: Deng, Zihao, et al.
Published: (2025)
Scalable High-Recall Constraint-Satisfaction-Based Information Retrieval for Clinical Trials Matching
by: Zhou, Cyrus, et al.
Published: (2026)
by: Zhou, Cyrus, et al.
Published: (2026)
Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic
by: Zhao, Xufeng, et al.
Published: (2023)
by: Zhao, Xufeng, et al.
Published: (2023)
Identifying Causal Effects Under Functional Dependencies
by: Chen, Yizuo, et al.
Published: (2024)
by: Chen, Yizuo, et al.
Published: (2024)
Hyperdimensional Computing for Sustainable Manufacturing: An Initial Assessment
by: Hoang, Danny, et al.
Published: (2025)
by: Hoang, Danny, et al.
Published: (2025)
VITA: Versatile Time Representation Learning for Temporal Hyper-Relational Knowledge Graphs
by: Un, ChongIn, et al.
Published: (2025)
by: Un, ChongIn, et al.
Published: (2025)
CoMAT: Chain of Mathematically Annotated Thought Improves Mathematical Reasoning
by: Leang, Joshua Ong Jun, et al.
Published: (2024)
by: Leang, Joshua Ong Jun, et al.
Published: (2024)
Similar Items
-
Learning from Uncertain Data: From Possible Worlds to Possible Models
by: Zhu, Jiongli, et al.
Published: (2024) -
Robust Clustering using Hyperdimensional Computing
by: Ge, Lulu, et al.
Published: (2023) -
Improving Neural-based Classification with Logical Background Knowledge
by: Ledaguenel, Arthur, et al.
Published: (2024) -
Ontology-Guided Neuro-Symbolic Inference: Grounding Language Models with Mathematical Domain Knowledge
by: Labre, Marcelo
Published: (2026) -
EGG-SR: Embedding Symbolic Equivalence into Symbolic Regression via Equality Graph
by: Jiang, Nan, et al.
Published: (2025)