Heterogeneous Graph Neural Network
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Updated
May 6, 2020 - Python
Heterogeneous Graph Neural Network
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
Hetnets in Python (relocated from dhimmel/hetio)
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)
Network inference by fusing data from diverse distributions
The repository of SiamHAN, an IPv6 address correlation model on TLS encrypted traffic. The work has been accepted as USENIX Security 2021 accepted Paper.
Task-Guided Pair Embedding in Heterogeneous Network (CIKM 2019)
Framework for latent network summarization: bridging network embedding and summarization
Heterogenous Graph Representation learning on Diffbot's Knowledge Graph. Includes asynchronous BFS traversal on Diffbot's Knowledge Graph, Diffbot's enhance API to build custom graph dataset and models to run on these graphs.
Predicting Anchor Links between Heterogeneous Social Networks (ASONAM 2016)
Compact time- and attribute-aware node representations
[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)
Heterogeneous Graph Attention Networks for Early Detection of Rumors on Twitter (IJCNN 2020)
Network-guided matrix completion
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