Pytorch implementation of the Attention-based Graph Neural Network(AGNN)

Keras implementation of Structural Deep Network Embedding, KDD 2016

Implementation of ConvE proposed by Dettmers et al. in Convolutional 2D Knowledge Graph Embeddings.

Pytorch implementation of some Network Embedding methods

Tri-Party Deep Network Representation (IJCAI 2016)

This is python implementation of "Arbitrary-Order Proximity Preserved Network Embedding"

Learning to Correlate Accounts across Online Social Networks: An Embedding-based Approach

word embedding resources for sentiment classification

(BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding

Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)

ConMask model described in paper Open-world Knowledge Graph Completion.

the Implementation of "Structural Deep Embedding for Hyper-Networks"（AAA20I8）

Source code and datasets of "CANE: Context-Aware Network Embedding for Relation Modeling"

This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).

NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching

The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)

Triplet Enhanced AutoEncoder: Model-free Discriminative Network Embedding

Protein function prediction based on protein-protein interaction network topology and deep maxout neural networks