repo for learning graph neural network
-
Updated
May 6, 2024 - Python
repo for learning graph neural network
Signed Whole Graph Embeddings
Project for the MVA course: Machine learning with kernel methods
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
Deep Recurrent Graph Neural Network
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
NAGFS (Network Atlas-Guided Feature Selection) for a fast and accurate graph data classification code, recoded by Dogu Can ELCI.
This is the code of the paper Breaking the Expressive Bottleneck of Graph Neural Networks.
Graph registration network using representative templates
Implementation of Beltrami Flow & Neural Diffusion on Graphs (BLEND) by Chamberlain et al. (2021) for graph classification
Tangent Graph Neural Network
Tool to convert datasets from "Benchmark Data Sets for Graph Kernels" (K. Kersting et al., 2016) into a format suitable for deep learning research.
One-representative shot learning for graph classification.
Graph Classification on Control Flow Graph by Support Vector Machine
Self-Attention Graph Pooling [ICML-2019]
A repo for baseline of graph pooling.
Add a description, image, and links to the graph-classification topic page so that developers can more easily learn about it.
To associate your repository with the graph-classification topic, visit your repo's landing page and select "manage topics."