There are 1 repository under network-representation-learning topic.
Deep and conventional community detection related papers, implementations, datasets, and tools.
Representation-Learning-on-Heterogeneous-Graph
ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
network-representation-learning: DeepWalk, LINE, Node2Vec, GraRep
OpenANE: the first Open source framework specialized in Attributed Network Embedding. The related paper was accepted by Neurocomputing. https://doi.org/10.1016/j.neucom.2020.05.080
2019 Biendata竞赛平台“OAG–WhoIsWho 同名消歧竞赛 赛道一”消歧比赛,第一名解决方案
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
Final project for Social Network Mining(DATA130007) in Fudan university
Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method
Codes and data for the paper entitled "Learning representations to predict intermolecular interactions on large-scale heterogeneous molecular association network"
BioERP: a biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.
A deep representation on heterogeneous drug network, termed DeepR2cov, to discover potential agents for treating the excessive inflammatory response in COVID-19 patients.
Network representation learning technique using structure and attributes of information networks.
DAOR Parameter-free Embedding Framework for Large Graphs (Networks)
NetHash algorithm from IJCAI 2018
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
DeepWalk - Deep Learning for Graphs
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
[ICDM 2020] Deep Semantic Network Representation