xinhuaxi

scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

Merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

awesome-explainable-graph-reasoning

A collection of research papers and software related to explainability in graph machine learning.

awesome-graph-explainability-papers

Papers about explainability of GNNs

PrimeKG

Precision Medicine Knowledge Graph (PrimeKG)

gnn-lspe

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

graphml-tutorials

Tutorials for Machine Learning on Graphs

Graph-Neural-Networks-in-Life-Sciences

SSAH

Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval(CVPR2018)

EMOGI

An explainable multi-omics graph integration method based on graph convolutional networks to predict cancer genes.

GRAPE

MOGONET

MOGONET (Multi-Omics Graph cOnvolutional NETworks) is a novel multi-omics data integrative analysis framework for classification tasks in biomedical applications.

PGExplainer

Parameterized Explainer for Graph Neural Network

toolbox

Toolbox - generic utilities for data processing (e.g., parsing, proximity, guild scoring, etc...)

PTDNet

Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification

Compositional-Attention

Code to reproduce the results for Compositional Attention

MSTGCN

Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.

RE-ParameterizedExplainerForGraphNeuralNetworks

scETM

A generative topic model that facilitates integrative analysis of large-scale single-cell RNA sequencing data.

RGSL

GIL

The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)

HGNN-AC

Source code of "WWW21 - Heterogeneous Graph Neural Network via Attribute Completion"

COVID-19

Supplementary code for the paper: Network Medicine Framework for Identifying Drug Repurposing Opportunities for COVID-19

MVGCN

MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.

HOGCN-LP

Predicting Biomedical Interactions with Higher-Order Graph Convolutional Networks

DVGCRN

Repository for ICML2022

NEDTP

SEED-Reimplementation

GraphSAGE

Unsupervised learning torch version