Source code and dataset for IJCAI 2019 paper "ProNE: Fast and Scalable Network Representation Learning"
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Updated
Aug 4, 2020 - Python
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"
NodeSketch: Highly-Efficient Graph Embeddings via Recursive Sketching
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
A demonstration codebase for the routing anomaly detection system featured in the USENIX Security 2024 paper, Learning with Semantics: Towards a Semantics-Aware Routing Anomaly Detection System.
Final project for Social Network Mining(DATA130007) in Fudan university
Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".
Parallelized Binary embedding GENerator for Attributed graphs
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
A deep representation on heterogeneous drug network, termed DeepR2cov, to discover potential agents for treating the excessive inflammatory response in COVID-19 patients.
BioERP: a biomedical heterogeneous network-based self-supervised representation learning approach for entity relationship predictions.
Network representation learning technique using structure and attributes of information networks.
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
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