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• [AAAI 2018
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• [Arxiv
• RSDNE: Exploring Relaxed Similarity and Dissimilarity from Completely-imbalanced Labels for Network Embedding.
• [Arxiv
• Fast Sequence Based Embedding with Diffusion Graphs
• Poincaré Embeddings for Learning Hierarchical Representations
• PRUNE: Preserving Proximity and Global Ranking for Network Embedding
• [arxiv
• Spectral Graph Wavelets for Structural Role Similarity in Networks
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• [arxiv - core)
• Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation
• [arxiv - simple/)
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• Convolutional 2D Knowledge Graph Embeddings
• [arxiv - grover/node2vec) [Python-2] [Python-3] [C++]
• Deep Neural Networks for Learning Graph Representations
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• [paper - network-embedding-for-graph-representation-learning-in-signed-networks)
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• Grarep: Learning graph representations with global structural information
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• StarSpace: Embed All The Things!
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• Learning Entity and Relation Embeddings for Knowledge Graph Completion
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• [Python TensorFlow
• [Python PyTorch
• [Python TensorFlow