Mitigating Heterogeneity among Factor Tensors via Lie Group Manifolds for Tensor Decomposition Based Temporal Knowledge Graph Embedding
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Jiang, Su, Xiangdong, Gao, Guanglai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
by: Li, Jiang, et al.
Published: (2023)
by: Li, Jiang, et al.
Published: (2023)
Fully Hyperbolic Rotation for Knowledge Graph Embedding
by: Liang, Qiuyu, et al.
Published: (2024)
by: Liang, Qiuyu, et al.
Published: (2024)
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
by: Liang, Qiuyu, et al.
Published: (2024)
by: Liang, Qiuyu, et al.
Published: (2024)
Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging
by: Fabian, Thomas
Published: (2026)
by: Fabian, Thomas
Published: (2026)
Toward Temporal Causal Representation Learning with Tensor Decomposition
by: Chen, Jianhong, et al.
Published: (2025)
by: Chen, Jianhong, et al.
Published: (2025)
Prism: Symbolic Superoptimization of Tensor Programs
by: Wu, Mengdi, et al.
Published: (2026)
by: Wu, Mengdi, et al.
Published: (2026)
Knowledge Graph Completion with Mixed Geometry Tensor Factorization
by: Yusupov, Viacheslav, et al.
Published: (2025)
by: Yusupov, Viacheslav, et al.
Published: (2025)
Structured Query Construction via Knowledge Graph Embedding
by: Wang, Ruijie, et al.
Published: (2019)
by: Wang, Ruijie, et al.
Published: (2019)
Temporal Knowledge Graph Question Answering: A Survey
by: Su, Miao, et al.
Published: (2024)
by: Su, Miao, et al.
Published: (2024)
Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
by: Chen, Tiejin, et al.
Published: (2026)
by: Chen, Tiejin, et al.
Published: (2026)
JTCSE: Joint Tensor-Modulus Constraints and Cross-Attention for Unsupervised Contrastive Learning of Sentence Embeddings
by: Zong, Tianyu, et al.
Published: (2025)
by: Zong, Tianyu, et al.
Published: (2025)
Counterfactual Reasoning with Knowledge Graph Embeddings
by: Zellinger, Lena, et al.
Published: (2024)
by: Zellinger, Lena, et al.
Published: (2024)
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
by: Huang, Yao, et al.
Published: (2025)
by: Huang, Yao, et al.
Published: (2025)
Joint Embedding Learning of Educational Knowledge Graphs
by: Yao, Siyu, et al.
Published: (2019)
by: Yao, Siyu, et al.
Published: (2019)
DVM: A Bytecode Virtual Machine Approach for Dynamic Tensor Computation
by: Fang, Jingzhi, et al.
Published: (2026)
by: Fang, Jingzhi, et al.
Published: (2026)
Relations Are Channels: Knowledge Graph Embedding via Kraus Decompositions
by: Chaki, Sayan Kumar
Published: (2026)
by: Chaki, Sayan Kumar
Published: (2026)
Tensor Product Attention Is All You Need
by: Zhang, Yifan, et al.
Published: (2025)
by: Zhang, Yifan, et al.
Published: (2025)
Communication Compression for Tensor Parallel LLM Inference
by: Hansen-Palmus, Jan, et al.
Published: (2024)
by: Hansen-Palmus, Jan, et al.
Published: (2024)
From Wide to Deep: Dimension Lifting Network for Parameter-efficient Knowledge Graph Embedding
by: Cai, Borui, et al.
Published: (2023)
by: Cai, Borui, et al.
Published: (2023)
Knowledge Graph Embeddings with Representing Relations as Annular Sectors
by: Zhu, Huiling, et al.
Published: (2025)
by: Zhu, Huiling, et al.
Published: (2025)
LoTR: Low Tensor Rank Weight Adaptation
by: Bershatsky, Daniel, et al.
Published: (2024)
by: Bershatsky, Daniel, et al.
Published: (2024)
Mirage: A Multi-Level Superoptimizer for Tensor Programs
by: Wu, Mengdi, et al.
Published: (2024)
by: Wu, Mengdi, et al.
Published: (2024)
Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
by: Peng, Miao, et al.
Published: (2024)
by: Peng, Miao, et al.
Published: (2024)
Learning Granularity Representation for Temporal Knowledge Graph Completion
by: Zhang, Jinchuan, et al.
Published: (2024)
by: Zhang, Jinchuan, et al.
Published: (2024)
Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings
by: Sawczyn, Albert, et al.
Published: (2024)
by: Sawczyn, Albert, et al.
Published: (2024)
Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding
by: Liu, Yichen, et al.
Published: (2022)
by: Liu, Yichen, et al.
Published: (2022)
KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning
by: Gao, Cheng, et al.
Published: (2026)
by: Gao, Cheng, et al.
Published: (2026)
HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs
by: Xiao, Yongkang, et al.
Published: (2025)
by: Xiao, Yongkang, et al.
Published: (2025)
Graph Neural Network-Based Entity Extraction and Relationship Reasoning in Complex Knowledge Graphs
by: Du, Junliang, et al.
Published: (2024)
by: Du, Junliang, et al.
Published: (2024)
Low-Rank Tensor Decompositions for the Theory of Neural Networks
by: Borsoi, Ricardo, et al.
Published: (2025)
by: Borsoi, Ricardo, et al.
Published: (2025)
Attention-based Iterative Decomposition for Tensor Product Representation
by: Park, Taewon, et al.
Published: (2024)
by: Park, Taewon, et al.
Published: (2024)
Training Tensor Attention Efficiently: From Cubic to Almost Linear Time
by: Cao, Yang, et al.
Published: (2024)
by: Cao, Yang, et al.
Published: (2024)
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation
by: Chen, Jennifer, et al.
Published: (2025)
by: Chen, Jennifer, et al.
Published: (2025)
CL4KGE: A Curriculum Learning Method for Knowledge Graph Embedding
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
What is in a name? Mitigating Name Bias in Text Embeddings via Anonymization
by: Manchanda, Sahil, et al.
Published: (2025)
by: Manchanda, Sahil, et al.
Published: (2025)
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
by: Liao, Ruotong, et al.
Published: (2023)
by: Liao, Ruotong, et al.
Published: (2023)
Algorithm Selection with Zero Domain Knowledge via Text Embeddings
by: Szeider, Stefan
Published: (2026)
by: Szeider, Stefan
Published: (2026)
AdaptBot: Combining LLM with Knowledge Graphs and Human Input for Generic-to-Specific Task Decomposition and Knowledge Refinement
by: Singh, Shivam, et al.
Published: (2025)
by: Singh, Shivam, et al.
Published: (2025)
KGLens: Towards Efficient and Effective Knowledge Probing of Large Language Models with Knowledge Graphs
by: Zheng, Shangshang, et al.
Published: (2023)
by: Zheng, Shangshang, et al.
Published: (2023)
Finer Parameter Steps for Low-Rank PEFT: A Controlled Study with CP Tensor Adapters
by: Wang, Xinjue, et al.
Published: (2026)
by: Wang, Xinjue, et al.
Published: (2026)
Similar Items
-
TransERR: Translation-based Knowledge Graph Embedding via Efficient Relation Rotation
by: Li, Jiang, et al.
Published: (2023) -
Fully Hyperbolic Rotation for Knowledge Graph Embedding
by: Liang, Qiuyu, et al.
Published: (2024) -
L^2GC:Lorentzian Linear Graph Convolutional Networks for Node Classification
by: Liang, Qiuyu, et al.
Published: (2024) -
Visualising Information Flow in Word Embeddings with Diffusion Tensor Imaging
by: Fabian, Thomas
Published: (2026) -
Toward Temporal Causal Representation Learning with Tensor Decomposition
by: Chen, Jianhong, et al.
Published: (2025)