graph-neural-network
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A library for graph deep learning research
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Jul 15, 2024 - Python
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
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Dec 11, 2023 - Python
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
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Mar 18, 2023 - Python
Heterogeneous Graph Neural Network
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May 6, 2020 - Python
A list of recent papers about Graph Neural Network methods applied in NLP areas.
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May 9, 2023
Neural Graph Collaborative Filtering, SIGIR2019
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May 7, 2020 - Python
Recipe for a General, Powerful, Scalable Graph Transformer
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Jul 4, 2024 - Python
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
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Sep 11, 2023 - Python
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
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Jun 4, 2025 - Shell
A repository of pretty cool datasets that I collected for network science and machine learning research.
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Mar 16, 2024
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
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Jul 17, 2024 - Python
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
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Nov 30, 2025
Deep and conventional community detection related papers, implementations, datasets, and tools.
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Sep 4, 2025
CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).
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Apr 12, 2024 - Python
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
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Dec 6, 2024 - Python
Representation-Learning-on-Heterogeneous-Graph
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Mar 13, 2020
Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding
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Nov 5, 2020 - Python
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
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Nov 6, 2022 - Python
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