Pinned Repositories
Benchmarking-PEs
Benchmarking Positional Encodings for GNNs and Graph Transformers
3DAugmentation
add 3D information
ADLG
ETHZ Applications of Deep Learning on Graphs
DeepProtein
A Deep Learning Toolkit for Protein Property Prediction, Localization Prediction, Protein-Protein Interaction, antigen epitope prediction, antibody paratope prediction, antibody developability prediction, etc. [NeurIPS 2024 AIDrugX Spotlight]
Fea2Fea
Code for the paper Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks (ECML-PKDD GEM 2021)
GuaranteeML
ETH Guarantees for Machine Learning
infosec-lab
ETH Zurich Information Security Lab HS2022
Probabilistic-Artificial-Intelligence-ETHZ
PAI Projects @ ETHZ
Statistical-Learning-Theory-ETHZ
Statistical Learning Theory @ ETH Zurich
Theories-of-Graph-Neural-Networks
A List of Papers on Theoretical Foundations of Graph Neural Networks
jiaqingxie's Repositories
jiaqingxie/Theories-of-Graph-Neural-Networks
A List of Papers on Theoretical Foundations of Graph Neural Networks
jiaqingxie/DeepProtein
A Deep Learning Toolkit for Protein Property Prediction, Localization Prediction, Protein-Protein Interaction, antigen epitope prediction, antibody paratope prediction, antibody developability prediction, etc. [NeurIPS 2024 AIDrugX Spotlight]
jiaqingxie/GuaranteeML
ETH Guarantees for Machine Learning
jiaqingxie/Probabilistic-Artificial-Intelligence-ETHZ
PAI Projects @ ETHZ
jiaqingxie/3DAugmentation
add 3D information
jiaqingxie/Fea2Fea
Code for the paper Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks (ECML-PKDD GEM 2021)
jiaqingxie/infosec-lab
ETH Zurich Information Security Lab HS2022
jiaqingxie/Statistical-Learning-Theory-ETHZ
Statistical Learning Theory @ ETH Zurich
jiaqingxie/ADLG
ETHZ Applications of Deep Learning on Graphs
jiaqingxie/GSL-LH
Code for the paper: Graph Structure Learning via Lottery Hypothesis at Scale
jiaqingxie/LM-MPNN
An Integration Study of Language Models and Message Passing Networks on Quantum Chemistry
jiaqingxie/awesome-graph-transformer
Papers about graph transformers.
jiaqingxie/CoRe-GD
Implementation for the paper "CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs"
jiaqingxie/jiaqingxie.github.io
jiaqingxie/revisiting_robustness
The codebase used to generate the reults in the ICLR 2023 paper "Revisiting Robustness in Graph Machine Learning".
jiaqingxie/SFM-Opt
Implementation and Optimization for Social Force Model for Pedestrian Dynamics