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
Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"
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
Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
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
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
Final project for Social Network Mining(DATA130007) in Fudan university
This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
Attributed Biased Random Walks (ABRW) is an Attributed Network Embedding method
Network representation learning on drug-target-side effects-indication graphs for side effect prediction
This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).
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)
This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).
NetHash algorithm from IJCAI 2018
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
This is python implementation of "Arbitrary-Order Proximity Preserved Network Embedding"
DeepWalk - Deep Learning for Graphs
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
[ICDM 2020] Deep Semantic Network Representation
Tri-Party Deep Network Representation (IJCAI 2016)