Name: Zhiqiang ZHONG
Type: User
Company: Aarhus University
Bio: Postdoc at Aarhus University.
Research topics are Graph Machine Learning, Biomedicine Design and Social Networks Analysis.
Twitter: zhong_zhiqiang
Location: Denmark
Blog: https://zhiqiangzhongddu.github.io/
Zhiqiang ZHONG's Projects
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
[TKDE] Multi-grained Semantics-aware Graph Neural Networks (https://arxiv.org/abs/2010.00238)
A collection of resources related with Knowledge-augmented Graph Machine Learning for Drug Discovery.
Data Science Questions and Answers (General) for beginner
GearNet and Geometric Pretraining Methods for Protein Structure Representation Learning, ICLR'2023 (https://arxiv.org/abs/2203.06125)
Must-read papers on graph neural networks (GNN)
Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
[DMKD-ECMLPKDD] Hierarchical Message-Passing Graph Neural Networks (https://arxiv.org/abs/2009.03717)
Materials for KDD2023 tutorial: Knowledge-augmented Graph Machine Learning for Drug Discovery: from Precision to Interpretability
Learning Sleep Quality from Daily Logs in Tensorflow.
[WISE20] NeuLP: An End-to-end Deep-learning Model for Link Prediction (https://dl.acm.org/doi/abs/10.1007/978-3-030-62005-9_8)
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
PEER Benchmark, appear at NeurIPS 2022 Dataset and Benchmark Track (https://arxiv.org/abs/2206.02096)
[DMKD-ECMLPKDD] Personalised Meta-path Generation for Heterogeneous Graph Neural Networks (https://arxiv.org/abs/2010.13735)
[LOG] On the Robustness of Post-hoc GNN Explainers to Label Noise (https://arxiv.org/pdf/2309.01706)
Graph Neural Network Library for PyTorch
tutorial docs for Pytorch
[TMLR] Unsupervised Network Embedding Beyond Homophily (https://arxiv.org/abs/2203.10866) Resources