https://github.com/trustagi-lab/graph_datasets

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

graph-classification graph-database graph-dataset graphs

Last synced: 05 Mar 2025

https://github.com/trustagi-lab/arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

Last synced: 19 Dec 2024

https://github.com/TrustAGI-Lab/ARGA

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

Last synced: 04 Jan 2025

https://github.com/trustagi-lab/sublime

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

Last synced: 14 Apr 2025

https://github.com/TrustAGI-Lab/SUBLIME

[WWW'22] Towards Unsupervised Deep Graph Structure Learning

Last synced: 29 Jan 2025

https://github.com/trustagi-lab/cola

[TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning

anomaly-detection graph-neural-networks

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/mtgode

[TKDE 2022] The official PyTorch implementation of the paper "Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs".

graph-neural-networks neural-odes spatial-temporal-data spatial-temporal-forecasting time-series time-series-forecasting

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/tridnr

Tri-Party Deep Network Representation, IJCAI-16

graph graph-embedding network-embedding

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/udagcn

Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.

domain-adaptation graph-neural-networks

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/anemone

[CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".

anomaly-detection-algorithm anomaly-detectionn graph-anomaly-detection graph-neural-networks self-supervised-learning

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/merit

[IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".

graph-neural-networks graph-representation-learning graph-self-supervised-learning self-supervised-distillation

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/mgae

Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”

Last synced: 05 Mar 2025

https://github.com/TrustAGI-Lab/MGAE

Implementation of the CIKM-17 paper “MGAE: Marginalized Graph Autoencoder for Graph Clustering”

Last synced: 05 Jan 2025

https://github.com/trustagi-lab/graph-deep-learning

This repository summarises the open source codes of our group

Last synced: 05 Mar 2025

https://github.com/trustagi-lab/openwgl

OpenWGL: Open-World Graph Learning, ICDM-2020

graph-neural-networks open-world-classification

Last synced: 14 Apr 2025

https://github.com/TrustAGI-Lab/MTG

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification

Last synced: 11 Dec 2024

https://github.com/trustagi-lab/mtg

Joint Structure Feature Exploration and Regularization for Multi-Task Graph Classification

Last synced: 14 Apr 2025

https://github.com/trustagi-lab/bane

BANE: Binarized Attributed Network Embedding - ICDM2018

network-embedding

Last synced: 05 Mar 2025