Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
☆903Dec 20, 2023Updated 2 years ago
Alternatives and similar repositories for pyHGT
Users that are interested in pyHGT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Heterogeneous Graph Neural Network☆1,200May 6, 2020Updated 5 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆435Nov 5, 2020Updated 5 years ago
- Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)☆1,080Feb 15, 2023Updated 3 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆260Dec 17, 2020Updated 5 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆498Jul 25, 2024Updated last year
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Representation-Learning-on-Heterogeneous-Graph☆443Mar 13, 2020Updated 6 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆326Mar 25, 2023Updated 3 years ago
- code of HetGNN☆413Feb 22, 2020Updated 6 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆339Jul 28, 2023Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Nov 24, 2020Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆74Aug 17, 2022Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,715Feb 2, 2024Updated 2 years ago
- Python package built to ease deep learning on graph, on top of existing DL frameworks.☆14,245Jul 31, 2025Updated 7 months ago
- Source Codes of HetSANN in the AAAI'20 paper: An Attention-based Graph Nerual Network for Heterogeneous Structural Learning.☆144Feb 19, 2021Updated 5 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Heterogeneous Information Network Datasets for Recommendation and Network Embedding☆349Dec 24, 2019Updated 6 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,076May 6, 2025Updated 10 months ago
- Source code and dataset for KDD 2019 paper "Representation Learning for Attributed Multiplex Heterogeneous Network"☆536Jan 11, 2022Updated 4 years ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆963Sep 22, 2025Updated 6 months ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆680Aug 16, 2022Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆242Jun 24, 2023Updated 2 years ago
- MATCH: Metadata-Aware Text Classification in A Large Hierarchy (WWW'21)☆118Apr 2, 2024Updated last year
- ☆33May 12, 2023Updated 2 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,818Feb 1, 2024Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Heterogeneous Graph Attention Auto-Encoders☆20Jul 26, 2020Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆122Aug 3, 2022Updated 3 years ago
- Graphormer is a general-purpose deep learning backbone for molecular modeling.☆2,429Jun 7, 2024Updated last year
- links to conference publications in graph-based deep learning☆5,039Feb 7, 2026Updated last month
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,651Jun 22, 2023Updated 2 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆665Nov 1, 2022Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,054Jul 29, 2023Updated 2 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Datasets-for-Heterogeneous-Graph☆137Sep 11, 2019Updated 6 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆635Jul 25, 2024Updated last year
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Jul 6, 2023Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆507Aug 12, 2022Updated 3 years ago
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆265Jun 2, 2021Updated 4 years ago
- Graph Attention Networks (https://arxiv.org/abs/1710.10903)☆3,505Apr 9, 2022Updated 3 years ago
- Graph Neural Network Library for PyTorch☆23,590Updated this week
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆238Jul 23, 2023Updated 2 years ago