1. Knowledge Acquisition
1.1. Entity Discovery
1.1.1. - Recognition - Disambiguation - Typing - Alignment
1.2. Relation Extraction
1.2.1. - Neural Nets - Attention - GCN - GAN - RL
1.3. Knowledge Graph Completion
1.3.1. - Embedding-based Ranking - Path based Reasoning - Rule-based Reasoning - Meta Relational Learning - Triple Classfication
2. Knowledge-Aware Applications
2.1. Recommender Systems
2.2. Dialogue Systems
2.3. Other Applications
2.3.1. - Question Generation - Search Engine - Medical Applications - Meta Hearthcare - Text Generation - Sentiment Analysis
2.4. Question Answering
2.5. Natural Language Understanding
3. Temporal Knowledge Graph
3.1. Temporal Logical Reasoning
3.1.1. Các bài báo
3.1.1.1. Deriving Validity Time in Knowledge Graph(2018)
3.1.1.1.1. Vấn đề
3.1.1.1.2. Mục tiêu của tác giả
3.1.1.1.3. Nghiên cứu liên quan
3.1.1.1.4. Temporal scope prediction
3.1.1.1.5. Thực nghiệm
3.2. Temporal Embeding
3.2.1. Các bài báo
3.2.1.1. Encoding Temporal Information for Time-Aware Link Prediction
3.2.1.1.1. Vấn đề
3.2.1.1.2. Time-aware KB Embedding
3.2.1.1.3. Thực nghiệm
3.3. Entity Dynamics
3.4. Temporal Relational Dependency
4. Knowledge Representation Learning
4.1. Auxiliary Information
4.1.1. - Text - Visual - Type
4.2. Encoding models
4.2.1. - Linear/Bilinear - Factorization - Neural networks - CNN - RNN - Transformers - GCN
4.3. Scoring function
4.3.1. - Distance - Semantic Matching
4.4. Representation Space
4.4.1. - Point-wise - Manifold - Complex - Gaussian - Discrete space