Deep and conventional community detection related papers, implementations, datasets, and tools.
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Updated
Dec 31, 2023
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"
network-representation-learning: DeepWalk, LINE, Node2Vec, GraRep
ANRL: Attributed Network Representation Learning via Deep Neural Networks(IJCAI-2018)
AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
This is the official implementation of "Arbitrary-Order Proximity Preserved Network Embedding"(KDD 2018).
Codes and data for the paper entitled "Learning representations to predict intermolecular interactions on large-scale heterogeneous molecular association network"
This repository contains the tensorflow implementation of "GNE: A deep learning framework for gene network inference by aggregating biological information"
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 a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).
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 a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).
Tri-Party Deep Network Representation (IJCAI 2016)
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".
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