THUDM / HGBLinks
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
☆338Updated 2 years ago
Alternatives and similar repositories for HGB
Users that are interested in HGB are comparing it to the libraries listed below
Sorting:
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆431Updated 5 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆260Updated 5 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆333Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆182Updated last year
- A curated list for awesome self-supervised learning for graphs.☆388Updated 3 years ago
- Datasets-for-Heterogeneous-Graph☆136Updated 6 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆338Updated last year
- Bag of Tricks for Graph Neural Networks.☆299Updated last year
- ☆124Updated 2 years ago
- The source code of HeCo☆170Updated 3 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆456Updated 2 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆326Updated 2 years ago
- ☆138Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆619Updated last year
- Pytorch implementation of a RGCN Link Prediction Model☆262Updated 4 years ago
- ☆339Updated last year
- code of HetGNN☆412Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆120Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- Representation-Learning-on-Heterogeneous-Graph☆446Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆115Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆501Updated 3 years ago
- ☆139Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆266Updated last year
- Interpretable and Efficient Heterogeneous Graph Convolutional Network, IEEE TKDE 2021☆108Updated last year
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Updated 3 years ago
- ☆276Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆240Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆157Updated last year