There are 23 repositories under graph-neural-network topic.
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Neural Graph Collaborative Filtering, SIGIR2019
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
A repository of pretty cool datasets that I collected for network science and machine learning research.
Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Deep and conventional community detection related papers, implementations, datasets, and tools.
Representation-Learning-on-Heterogeneous-Graph
Implementation of E(n)-Equivariant Graph Neural Networks, in Pytorch
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).
Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.
Representation learning on dynamic graphs using self-attention networks
Awesome Resources for Advanced Computer Vision Topics
Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021
A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Zero-shot Video Object Segmentation via Attentive Graph Neural Networks (ICCV2019 Oral)
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
[ICLR 2023] One Transformer Can Understand Both 2D & 3D Molecular Data (official implementation)
GFlowNet library specialized for graph & molecular data
A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
[IJCAI 2022] Learning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition, Pytorch code