ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
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Updated
Jun 30, 2024 - Python
ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations [AAAI-2020]
repo for learning graph neural network
A scikit-learn compatible library for graph kernels
Self-Attention Graph Pooling [ICML-2019]
Few-Shot Graph Classification via distance metric learning.
A curated list of data mining papers about fraud detection.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Pattern Mining for the Classification of Public Procurement Fraud
Signed Whole Graph Embeddings
A PyTorch implementation of DGCNN based on AAAI 2018 paper "An End-to-End Deep Learning Architecture for Graph Classification"
Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
Python package for Collective Classification
Project for the MVA course: Machine learning with kernel methods
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".
A collection of important graph embedding, classification and representation learning papers with implementations.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Permute Me Softly: Learning Soft Permutations for Graph Representations
Tangent Graph Neural Network
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