[ICDM 2020] Deep Semantic Network Representation
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Updated
Aug 20, 2020 - Python
[ICDM 2020] Deep Semantic Network Representation
A database for storing and comparing entity embeddings
Tri-Party Deep Network Representation (IJCAI 2016)
DeepWalk - Deep Learning for Graphs
This is python implementation of "Arbitrary-Order Proximity Preserved Network Embedding"
The Implementation of "Deep Recursive Network Embedding with Regular Equivalence"(KDD 2018)
Code for the AAAI 2018 Paper "HARP: Hierarchical Representation Learning for Networks"
Implementation of the Mineral algorithm as described in the paper, Mineral: Multi-modal Network Representation Learning.
NetHash algorithm from IJCAI 2018
DAOR Parameter-free Embedding Framework for Large Graphs (Networks)
Network representation learning technique using structure and attributes of information networks.
This is a sample implementation of "Community Preserving Network Embedding" (AAAI 2017).
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.
This is a sample implementation of "TIMERS: Error-Bounded SVD Restart on Dynamic Networks"(AAAI 2018).
Codes for our SIGIR'20 paper "BiANE: Bipartite Attributed Network Embedding".
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
Code for the ICDM 2019 Paper "RiWalk: Fast Structural Node Embedding via Role Identification".
This is a sample implementation of "Asymmetric Transitivity Preserving Graph Embedding"(KDD 2016).
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