A curated list of data mining papers about fraud detection.

CogDL: An Extensive Research Toolkit for Graphs

Grakn Knowledge Graph Library (ML R&D)

Representation learning for link prediction within social networks

ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks

Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)

Some papers on Knowledge Graph Embedding(KGE)

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

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

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network (NAACL 2018) (In Pytorch and Tensorflow)

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

SimplE Embedding for Link Prediction in Knowledge Graphs

Easy link prediction tool

Keras implementation of Structural Deep Network Embedding, KDD 2016

Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

This repository implements variational graph auto encoder by Thomas Kipf.

STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

Variational Graph Recurrent Neural Networks - PyTorch

A pytorch implemention of GCN-GAN for temporal link prediction.

Implementation of TransE model in PyTorch.

[UNMAINTAINED] 基于PySpark与MySQL的复杂网络链路预测。

TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs, ISWC 2019

It provides some typical graph embedding techniques based on task-free or task-specific intuitions.

Continuous-Time Relationship Prediction in Dynamic Heterogeneous Information Networks

❇️ The best modules for Markov Logic Networks condensed in one framework.

LEAP (Learning Edges by Aggregation of Paths)