Representation-Learning-on-Heterogeneous-Graph
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Updated
Mar 13, 2020
Representation-Learning-on-Heterogeneous-Graph
Deep and conventional community detection related papers, implementations, datasets, and tools. Welcome to contribute to this repository by following the {instruction_for_contribution.pdf} file.
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
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
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
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)
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
Final project for Social Network Mining(DATA130007) in Fudan university
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
Parallelized Binary embedding GENerator for Attributed graphs
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
This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).
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