/IFMLab_GNN

Graph Neural Network Models from IFM Lab

Graph Neural Network Models from IFM Lab

A list of the latest research papers on graph neural network from IFM Lab

2022

1. Iso-CapsNet: Isomorphic Capsule Network for Brain Graph Representation Learning

Release Date: June 2022
Paper URL: https://arxiv.org/abs/2206.13465
Code URL: https://github.com/jwzhanggy/IsoCapsNet

2021

1. EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph

Release Date: December 2021
Paper URL: https://www.computer.org/csdl/proceedings-article/icde/2021/918400c039/1uGXnraYpck
Code URL: TBD

2. Label Contrastive Coding based Graph Neural Network for Graph Classification

Release Date: Janurary 2021
Paper URL: https://arxiv.org/abs/2101.05486
Code URL: TBD

3. Fake News Detection on News-Oriented Heterogeneous Information Networks through Hierarchical Graph Attention

Release Date: Feburary 2021
Paper URL: https://arxiv.org/abs/2002.04397
Code URL: TBD

4. Ripple Walk Training: A Subgraph-based training framework for Large and Deep Graph Neural Network

Release Date: May 2021
Paper URL: https://arxiv.org/abs/2002.07206
Code URL: TBD

2020

1. Graph-Bert: Only Attention is Needed for Learning Graph Representations

Release Date: January 2020
Paper URL: https://arxiv.org/abs/2001.05140
Code URL: https://github.com/jwzhanggy/Graph-Bert

2. Get Rid of Suspended Animation Problem: Deep Diffusive Neural Network on Graph Semi-Supervised Classification

Release Date: January 2020
Published: ICML RGL+ Workshop
Paper URL: https://arxiv.org/abs/2001.07922
Code URL: https://github.com/jwzhanggy/DifNet

3. HGAT: Hierarchical Graph Attention Network for Fake News Detection

Release Date: Feburary 2020
Paper URL: https://arxiv.org/abs/2002.04397
Code URL: https://github.com/YuxiangRen/Hierarchical-Graph-Attention-Network

4. Segmented Graph-Bert for Graph Instance Modeling

Release Date: Feburary 2020
Paper URL: https://arxiv.org/abs/2002.03283
Code URL: https://github.com/jwzhanggy/SEG-BERT

5. Graph Neural Distance Metric Learning with Graph-Bert

Release Date: Feburary 2020
Paper URL: https://arxiv.org/abs/2002.03427
Code URL: https://github.com/jwzhanggy/SEG-BERT

6. G5: A Universal Graph-Bert for Graph-to-Graph Transfer and Apocalypse Learning

Release Date: June 2020
Paper URL: https://arxiv.org/abs/2006.06183

2019

1. IsoNN: Isomorphic Neural Network for Graph Representation Learning and Classification

Release Date: July 2019
Published: NIPS Graph Representation Learning Workshop
Paper URL: https://arxiv.org/abs/1907.09495
Code URL: https://github.com/linmengsysu/IsoNN

2. GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation

Release Date: September 2019
Paper URL: https://arxiv.org/abs/1909.05729
Code URL: https://github.com/jwzhanggy/GResNet

3. Heterogeneous Deep Graph Infomax

Release Date: November 2019
Published: AAAI Deep Learning on Graphs: Methodologies and Applications (DLGMA) Workshop
Paper URL: https://arxiv.org/abs/1911.08538
Code URL: https://github.com/YuxiangRen/Heterogeneous-Deep-Graph-Infomax