Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | He, Xiaoxin, Bresson, Xavier, Laurent, Thomas, Perold, Adam, LeCun, Yann, Hooi, Bryan |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: He, Xiaoxin, et al.
Published: (2024)
by: He, Xiaoxin, et al.
Published: (2024)
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
by: He, Yufei, et al.
Published: (2024)
by: He, Yufei, et al.
Published: (2024)
Learning by Reconstruction Produces Uninformative Features For Perception
by: Balestriero, Randall, et al.
Published: (2024)
by: Balestriero, Randall, et al.
Published: (2024)
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
Video Representation Learning with Joint-Embedding Predictive Architectures
by: Drozdov, Katrina, et al.
Published: (2024)
by: Drozdov, Katrina, et al.
Published: (2024)
Variance Covariance Regularization Enforces Pairwise Independence in Self-Supervised Representations
by: Mialon, Grégoire, et al.
Published: (2022)
by: Mialon, Grégoire, et al.
Published: (2022)
Fast and Exact Enumeration of Deep Networks Partitions Regions
by: Balestriero, Randall, et al.
Published: (2024)
by: Balestriero, Randall, et al.
Published: (2024)
Introduction to Latent Variable Energy-Based Models: A Path Towards Autonomous Machine Intelligence
by: Dawid, Anna, et al.
Published: (2023)
by: Dawid, Anna, et al.
Published: (2023)
Semantic Tube Prediction: Beating LLM Data Efficiency with JEPA
by: Huang, Hai, et al.
Published: (2026)
by: Huang, Hai, et al.
Published: (2026)
URLOST: Unsupervised Representation Learning without Stationarity or Topology
by: Yun, Zeyu, et al.
Published: (2023)
by: Yun, Zeyu, et al.
Published: (2023)
LLM-JEPA: Large Language Models Meet Joint Embedding Predictive Architectures
by: Huang, Hai, et al.
Published: (2025)
by: Huang, Hai, et al.
Published: (2025)
Learning and Leveraging World Models in Visual Representation Learning
by: Garrido, Quentin, et al.
Published: (2024)
by: Garrido, Quentin, et al.
Published: (2024)
Variance-Covariance Regularization Improves Representation Learning
by: Zhu, Jiachen, et al.
Published: (2023)
by: Zhu, Jiachen, et al.
Published: (2023)
Why AI systems don't learn and what to do about it: Lessons on autonomous learning from cognitive science
by: Dupoux, Emmanuel, et al.
Published: (2026)
by: Dupoux, Emmanuel, et al.
Published: (2026)
A hierarchical loss and its problems when classifying non-hierarchically
by: Wu, Cinna, et al.
Published: (2017)
by: Wu, Cinna, et al.
Published: (2017)
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
by: Liu, Nian, et al.
Published: (2024)
by: Liu, Nian, et al.
Published: (2024)
Gaussian Embeddings: How JEPAs Secretly Learn Your Data Density
by: Balestriero, Randall, et al.
Published: (2025)
by: Balestriero, Randall, et al.
Published: (2025)
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs
by: He, Yufei, et al.
Published: (2025)
by: He, Yufei, et al.
Published: (2025)
Does Representation Matter? Exploring Intermediate Layers in Large Language Models
by: Skean, Oscar, et al.
Published: (2024)
by: Skean, Oscar, et al.
Published: (2024)
Blockwise Self-Supervised Learning at Scale
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2023)
Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement
by: Liu, Nian, et al.
Published: (2026)
by: Liu, Nian, et al.
Published: (2026)
Toward Hybrid Studio‐Based Learning Environments: A Sociomaterial Exploration of Design Education
by: Karolien Perold‐Bull
Published: (2025)
by: Karolien Perold‐Bull
Published: (2025)
Representation Learning for Spatiotemporal Physical Systems
by: Qu, Helen, et al.
Published: (2026)
by: Qu, Helen, et al.
Published: (2026)
DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
by: Zhou, Gaoyue, et al.
Published: (2024)
by: Zhou, Gaoyue, et al.
Published: (2024)
The Spike, the Sparse and the Sink: Anatomy of Massive Activations and Attention Sinks
by: Sun, Shangwen, et al.
Published: (2026)
by: Sun, Shangwen, et al.
Published: (2026)
Causal-JEPA: Learning World Models through Object-Level Latent Masking
by: Nam, Heejeong, et al.
Published: (2026)
by: Nam, Heejeong, et al.
Published: (2026)
Transformers without Normalization
by: Zhu, Jiachen, et al.
Published: (2025)
by: Zhu, Jiachen, et al.
Published: (2025)
Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning
by: Arefin, Md Rifat, et al.
Published: (2024)
by: Arefin, Md Rifat, et al.
Published: (2024)
Rectified LpJEPA: Joint-Embedding Predictive Architectures with Sparse and Maximum-Entropy Representations
by: Kuang, Yilun, et al.
Published: (2026)
by: Kuang, Yilun, et al.
Published: (2026)
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders
by: Tong, Shengbang, et al.
Published: (2026)
by: Tong, Shengbang, et al.
Published: (2026)
AI Must Embrace Specialization via Superhuman Adaptable Intelligence
by: Goldfeder, Judah, et al.
Published: (2026)
by: Goldfeder, Judah, et al.
Published: (2026)
The Entropy Enigma: Success and Failure of Entropy Minimization
by: Press, Ori, et al.
Published: (2024)
by: Press, Ori, et al.
Published: (2024)
RoboPEPP: Vision-Based Robot Pose and Joint Angle Estimation through Embedding Predictive Pre-Training
by: Goswami, Raktim Gautam, et al.
Published: (2024)
by: Goswami, Raktim Gautam, et al.
Published: (2024)
OSVI-WM: One-Shot Visual Imitation for Unseen Tasks using World-Model-Guided Trajectory Generation
by: Goswami, Raktim Gautam, et al.
Published: (2025)
by: Goswami, Raktim Gautam, et al.
Published: (2025)
Light-weight probing of unsupervised representations for Reinforcement Learning
by: Zhang, Wancong, et al.
Published: (2022)
by: Zhang, Wancong, et al.
Published: (2022)
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering
by: Sui, Yuan, et al.
Published: (2024)
by: Sui, Yuan, et al.
Published: (2024)
JEPA as a Neural Tokenizer: Learning Robust Speech Representations with Density Adaptive Attention
by: Ioannides, Georgios, et al.
Published: (2025)
by: Ioannides, Georgios, et al.
Published: (2025)
Revisiting Feature Prediction for Learning Visual Representations from Video
by: Bardes, Adrien, et al.
Published: (2024)
by: Bardes, Adrien, et al.
Published: (2024)
Efficient Heterogeneous Graph Learning via Random Projection
by: Hu, Jun, et al.
Published: (2023)
by: Hu, Jun, et al.
Published: (2023)
Learning Latent Action World Models In The Wild
by: Garrido, Quentin, et al.
Published: (2026)
by: Garrido, Quentin, et al.
Published: (2026)
Similar Items
-
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
by: He, Xiaoxin, et al.
Published: (2024) -
UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs
by: He, Yufei, et al.
Published: (2024) -
Learning by Reconstruction Produces Uninformative Features For Perception
by: Balestriero, Randall, et al.
Published: (2024) -
LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
by: Balestriero, Randall, et al.
Published: (2025) -
Video Representation Learning with Joint-Embedding Predictive Architectures
by: Drozdov, Katrina, et al.
Published: (2024)