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Papers about explainability of GNNs
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Implementation codes for AAAI23 paper "Dynamic Heterogeneous Graph Attention Neural Architecture Search"
DGNAS-PD is an automatical decoupled graph neural network (DGNN) designing method
⚡️Lightning-fast async download tool for bilibili and more
A paper collection about automated graph learning
Auto-GNAS is a general parallel graph neural architecture search framework for different tasks on graph datasets.