Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
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Updated
Apr 29, 2023 - Python
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
OhmNet: Representation learning in multi-layer graphs
prepBioCyc: Preprocess BioCyc files
A random-walk with restart algorithm over an enriched graph constructed using type-2 fuzzy data fusion.
The application of representation learning for semantic associated heterogeneous networks in creating android app embedding layers.
The code for paper "For the Underrepresented in Gender Bias Research: Chinese Name Gender Prediction with Heterogeneous Graph Attention Network" in AAAI2023.
IT infrastructure monitoring
This repository is about the group polarization detection model proposed in our paper.
Extension for networkx regarding heterogeneous graph and poprank algorithm
UIUC CS Assistant
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)
Network-guided matrix completion
Intelligent Library Guidance Service
Manuscript is on using snorkel to extract Heterogeneous Relationships from Pubmed Abstracts.
EDA financial fraud detection and deployment of a heterogeneous GNN model
[ECML-PKDD'20] Modeling Dynamic Heterogeneous Network for Link Prediction using Hierarchical Attention with Temporal RNN
A pytorch implementation of NeoDTI
Non-local Attention Learning on Large Heterogeneous Information Networks (IEEE BigData 2019)
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