Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning
cs.CL, cs.AI
Submitted: 2024-07-17
Updated: 2025-01-31
Code: https://github.com/meaningful96/SATKGC
Terminology
Sources
- Structure Aware Negative Sampling in Knowledge Graphs
- A Simple Framework for Contrastive Learning of Visual Representations
- CERT: Contrastive Self-supervised Learning for Language Understanding
- SimCSE: Simple Contrastive Learning of Sentence Embeddings
- Self-Supervised Contrastive Representation Learning for 3D Mesh Segmentation
- DeBERTa: Decoding-enhanced BERT with Disentangled Attention
- LoRA: Low-Rank Adaptation of Large Language Models
- Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition from a Domain Adaptation Perspective
- Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax
- Representation Learning with Contrastive Predictive Coding
- Balanced Meta-Softmax for Long-Tailed Visual Recognition
- MPNet: Masked and Permuted Pre-training for Language Understanding
- Equalization Loss for Long-Tailed Object Recognition
- Language Models as Knowledge Embeddings
- Improving Multilingual Sentence Embedding using Bi-directional Dual Encoder with Additive Margin Softmax
- Understanding Negative Sampling in Graph Representation Learning
- KG-BERT: BERT for Knowledge Graph Completion
- HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
- Contrastive Learning of Sentence Embeddings from Scratch
- Making Large Language Models Perform Better in Knowledge Graph Completion
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