A collection of important graph embedding, classification and representation learning papers with implementations.

Must-read papers on network representation learning (NRL) / network embedding (NE)

A distributed graph deep learning framework.

A curated list of network embedding techniques.

An Open-Source Package for Network Embedding (NE)

Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)

GraphVite: A General and High-performance Graph Embedding System

Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Heterogeneous Graph Neural Network

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"

SMORe: Modularize Graph Embedding for Recommendation

Representation-Learning-on-Heterogeneous-Graph

A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

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

Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

A Temporal Extension Library for PyTorch Geometric

A repository of pretty cool datasets that I collected for network science and machine learning research.

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"

Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)

A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).

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

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.