There are 28 repositories under link-prediction topic.
StellarGraph - Machine Learning on Graphs
A curated list of data mining papers about fraud detection.
A repository of pretty cool datasets that I collected for network science and machine learning research.
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
This repository implements variational graph auto encoder by Thomas Kipf.
Representation learning for link prediction within social networks
Autoencoders for Link Prediction and Semi-Supervised Node Classification (DSAA 2018)
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) (Pytorch and Tensorflow)
Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
Implementation of TransE model in PyTorch.
A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)
[Neurocomputing 2023] Relational Graph Transformer for Knowledge Graph Representation
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022
A pytorch implemention of GCN-GAN for temporal link prediction.
Keras implementation of Structural Deep Network Embedding, KDD 2016
CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/document/9240056
B站GNN教程资料
Source Code for IJCAI 2018 paper "Scalable Multiplex Network Embedding"
COO: Comic onomatopoeia dataset (ECCV 2022)