Saved in:
| Main Authors: | Lv, Ao, Ouyang, Guige, Huang, Yongzhong, Chen, Yue, Xie, Haoran |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.00586 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Global Low-Rank, Local Full-Rank: The Holographic Encoding of Learned Algorithms
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
by: Huang, Rikui, et al.
Published: (2024)
by: Huang, Rikui, et al.
Published: (2024)
DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning
by: Mohammed, Osama, et al.
Published: (2025)
by: Mohammed, Osama, et al.
Published: (2025)
Strikingness-Aware Evaluation for Temporal Knowledge Graph Reasoning
by: Huang, Rikui, et al.
Published: (2026)
by: Huang, Rikui, et al.
Published: (2026)
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2023)
by: Dong, Hao, et al.
Published: (2023)
Feature Repulsion and Spectral Lock-in: An Empirical Study of Two-Layer Network Grokking
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Spectral Edge Dynamics: An Analytical-Empirical Study of Phase Transitions in Neural Network Training
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
AMCEN: An Attention Masking-based Contrastive Event Network for Two-stage Temporal Knowledge Graph Reasoning
by: Yang, Jing, et al.
Published: (2024)
by: Yang, Jing, et al.
Published: (2024)
Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities
by: Zhao, Ze, et al.
Published: (2026)
by: Zhao, Ze, et al.
Published: (2026)
Towards Foundation Model on Temporal Knowledge Graph Reasoning
by: Pan, Jiaxin, et al.
Published: (2025)
by: Pan, Jiaxin, et al.
Published: (2025)
Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion
by: Luo, Ruilin, et al.
Published: (2024)
by: Luo, Ruilin, et al.
Published: (2024)
A Unified Temporal Knowledge Graph Reasoning Model Towards Interpolation and Extrapolation
by: Chen, Kai, et al.
Published: (2024)
by: Chen, Kai, et al.
Published: (2024)
Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion
by: Zhang, Qinggang, et al.
Published: (2024)
by: Zhang, Qinggang, et al.
Published: (2024)
Early-Warning Signals of Grokking via Loss-Landscape Geometry
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Spectral Edge Dynamics Reveal Functional Modes of Learning
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Gradient-Direction Sensitivity Reveals Linear-Centroid Coupling Hidden by Optimizer Trajectories
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
The Geometry of Multi-Task Grokking: Transverse Instability, Superposition, and Weight Decay Phase Structure
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Spectral Edge Dynamics of Training Trajectories: Signal--Noise Geometry Across Scales
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
When Do Attention Circuits Form? Developmental Trajectories of Capability and Attention-Sink Emergence Across Three 1B-ClassArchitectures
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Optimizer-Induced Low-Dimensional Drift and Transverse Dynamics in Transformer Training
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Conflict Detection for Temporal Knowledge Graphs:A Fast Constraint Mining Algorithm and New Benchmarks
by: Chen, Jianhao, et al.
Published: (2023)
by: Chen, Jianhao, et al.
Published: (2023)
Multi-Level Temporal Graph Networks with Local-Global Fusion for Industrial Fault Diagnosis
by: Aryal, Bibek, et al.
Published: (2026)
by: Aryal, Bibek, et al.
Published: (2026)
Disentangled Multi-span Evolutionary Network against Temporal Knowledge Graph Reasoning
by: Dong, Hao, et al.
Published: (2025)
by: Dong, Hao, et al.
Published: (2025)
Exploring the Paradigm Shift from Grounding to Skolemization for Complex Query Answering on Knowledge Graphs
by: Lu, Yuyin, et al.
Published: (2025)
by: Lu, Yuyin, et al.
Published: (2025)
Historically Relevant Event Structuring for Temporal Knowledge Graph Reasoning
by: Zhang, Jinchuan, et al.
Published: (2024)
by: Zhang, Jinchuan, et al.
Published: (2024)
AdaTKG: Adaptive Memory for Temporal Knowledge Graph Reasoning
by: Lee, Seunghan, et al.
Published: (2026)
by: Lee, Seunghan, et al.
Published: (2026)
Learning Multi-graph Structure for Temporal Knowledge Graph Reasoning
by: Zhang, Jinchuan, et al.
Published: (2023)
by: Zhang, Jinchuan, et al.
Published: (2023)
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
by: Ding, Zifeng, et al.
Published: (2023)
by: Ding, Zifeng, et al.
Published: (2023)
Transformer-based Reasoning for Learning Evolutionary Chain of Events on Temporal Knowledge Graph
by: Fang, Zhiyu, et al.
Published: (2024)
by: Fang, Zhiyu, et al.
Published: (2024)
Rethinking Over-Smoothing in Graph Neural Networks: A Perspective from Anderson Localization
by: Ouyang, Kaichen
Published: (2025)
by: Ouyang, Kaichen
Published: (2025)
Cumulative Path-Level Semantic Reasoning for Inductive Knowledge Graph Completion
by: Wang, Jiapu, et al.
Published: (2026)
by: Wang, Jiapu, et al.
Published: (2026)
Low-Dimensional Execution Manifolds in Transformer Learning Dynamics: Evidence from Modular Arithmetic Tasks
by: Xu, Yongzhong
Published: (2026)
by: Xu, Yongzhong
Published: (2026)
Large Language Models Meet Graph Neural Networks for Text-Numeric Graph Reasoning
by: Song, Haoran, et al.
Published: (2025)
by: Song, Haoran, et al.
Published: (2025)
T3DM: Test-Time Training-Guided Distribution Shift Modelling for Temporal Knowledge Graph Reasoning
by: Si, Yuehang, et al.
Published: (2025)
by: Si, Yuehang, et al.
Published: (2025)
Temporal Graph Memory Networks For Knowledge Tracing
by: Gad, Seif, et al.
Published: (2024)
by: Gad, Seif, et al.
Published: (2024)
L2G2G: a Scalable Local-to-Global Network Embedding with Graph Autoencoders
by: Ouyang, Ruikang, et al.
Published: (2024)
by: Ouyang, Ruikang, et al.
Published: (2024)
DynaGen: Unifying Temporal Knowledge Graph Reasoning with Dynamic Subgraphs and Generative Regularization
by: Shen, Jiawei, et al.
Published: (2025)
by: Shen, Jiawei, et al.
Published: (2025)
Similar Items
-
Global Low-Rank, Local Full-Rank: The Holographic Encoding of Learned Algorithms
by: Xu, Yongzhong
Published: (2026) -
Joint Multi-Facts Reasoning Network For Complex Temporal Question Answering Over Knowledge Graph
by: Huang, Rikui, et al.
Published: (2024) -
DuetGraph: Coarse-to-Fine Knowledge Graph Reasoning with Dual-Pathway Global-Local Fusion
by: Li, Jin, et al.
Published: (2025) -
Full-History Graphs with Edge-Type Decoupled Networks for Temporal Reasoning
by: Mohammed, Osama, et al.
Published: (2025) -
Strikingness-Aware Evaluation for Temporal Knowledge Graph Reasoning
by: Huang, Rikui, et al.
Published: (2026)