jiaqingxie Goto Github PK

3daugmentation

add 3D information

adlg

ETHZ Applications of Deep Learning on Graphs

ai-paper-search-engine

awesome-graph-reduction

[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.

awesome-graph-transformer

Papers about graph transformers.

awesome-protein-representation-learning

Awesome Protein Representation Learning

core-gd

Implementation for the paper "CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs"

deeppurpose

A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

deeppurposeplusplus

dpvo

Deep Patch Visual Odometry

eth-principles-of-microeconomics

ETH Zurich 363-0503-00L Principles of Microeconomics

fea2fea

Code for the paper Fea2Fea: Exploring Structural Feature Correlations via Graph Neural Networks (ECML-PKDD GEM 2021)

gcond

[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"

gnf-pytorch

Pytorch-Implementation of Graph Normalizing Flows

gnf-pytorch-1

Unofficial Implentation of Graph Normalizing Flows in Pytorch

graphgps

Recipe for a General, Powerful, Scalable Graph Transformer

gsl-lh

Code for the paper: Graph Structure Learning via Lottery Hypothesis at Scale

guaranteeml

ETH Guarantees for Machine Learning

infosec-lab

ETH Zurich Information Security Lab HS2022

jiaqingxie.github.io

lm-mpnn

An Integration Study of Language Models and Message Passing Networks on Quantum Chemistry

machine-learning-in-genomes

MIT Summer Research. Supervised by Manolis kellis

normalized-information-payload

codes for paper: What Dense Graph do You Need for Self-attention?

probabilistic-artificial-intelligence-ethz

PAI Projects @ ETHZ

pytorch-netvlad

Pytorch implementation of NetVlad including training on Pittsburgh.

reinforced-genetic-algorithm

Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm

revisiting_robustness

The codebase used to generate the reults in the ICLR 2023 paper "Revisiting Robustness in Graph Machine Learning".

sfm-opt

Implementation and Optimization for Social Force Model for Pedestrian Dynamics

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