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Graph Neural Network for Node Classification
A library for graph deep learning research
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
Deep and conventional community detection related papers, implementations, datasets, and tools.
Keras implementation of the graph attention networks (GAT) by Veličković et al. (2017; https://arxiv.org/abs/1710.10903)
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021