Generate embeddings from large-scale graph-structured data.
翻译 - 从大规模图形结构化数据生成嵌入。
Semi-supervised learning with graph embeddings
Implementation and experiments of graph embedding algorithms.
Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE
Convolutional 2D Knowledge Graph Embeddings resources
Implementations of Embedding-based methods for Knowledge Base Completion tasks
Python library to compute knowledge graph embeddings
Hyperbolic Knowledge Graph embeddings.
Exploring word2vec embeddings as a graph of nearest neighbors
Hypernetwork Knowledge Graph Embeddings
Multi-relational Poincaré Graph Embeddings
Adversarial Attacks on Node Embeddings via Graph Poisoning
Deep Neural Networks Based Approaches for Graph Embeddings
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
InferSent sentence embeddings