- Multi-Modal Bayesian Embeddings for Learning Social Knowledge Graphs
- From One Point to A Manifold: Knowledge Graph Embedding For Precise Link Prediction
- Knowledge Representation Learning with Entities, Attributes and Relations
- Sparse Word Embeddings Using L1 Regularized Online Learning
- Bag-of-Embeddings for Text Classification
- Exploring the Context of Locations for Personalized Location Recommendations
- Text-enhanced Representation Learning for Knowledge Graph
- Representation Learning of Knowledge Graphs with Hierarchical Types
- Querying Data Graphs with Arithmetical Regular Expressions
- Learning First-Order Logic Embeddings via Graph Rewriting
- Predict Anchor Links across Social Networks via an Embedding Approach
- Aligning Users Across Social Networks Using Network Embedding
- Grounding Topic Models with Knowledge Bases
- KOGNAC: Efficient Encoding of Large Knowledge Graphs
- Max-Margin DeepWalk: Discriminative Learning of Network Representation
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