graph-machine-learning topic
graph-classification
A collection of graph classification methods
fastgraphml
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
CFLP
Author: Tong Zhao ([email protected]). ICML 2022. Learning from Counterfactual Links for Link Prediction
Stanford-CS224W-ML-with-Graphs
Solutions to assignments of the CS224W Machine Learning with Graphs course from Stanford University.
pyg-link-prediction
Pytorch Geometric link prediction of a homogeneous social graph.
grin
Official repository for the paper "Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks" (ICLR 2022)
GraphAIBench
A benchmark suite for Graph Machine Learning
cs224w
Solutions to homework problems and programming assignments for Stanford's cs224w Machine Learning with Graphs (2021) course.
TEG-Benchmark
[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
msd
Code repository for the ECCV paper "MSD: A Benchmark Dataset for Floor Plan of Building Complexes".