THUDM / HGBLinks
Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.
☆331Updated 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☆428Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 4 years ago
- Datasets-for-Heterogeneous-Graph☆134Updated 6 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- A curated list for awesome self-supervised learning for graphs.☆387Updated 2 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆177Updated last year
- ☆118Updated last year
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆333Updated last year
- The source code of HeCo☆168Updated 3 years ago
- Bag of Tricks for Graph Neural Networks.☆298Updated last year
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆325Updated 2 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆448Updated last year
- code of HetGNN☆412Updated 5 years ago
- Source code of AAAI21-Heterogeneous Graph Structure Learning for Graph Neural Networks☆118Updated 3 years ago
- ☆330Updated last year
- ☆138Updated 2 years ago
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆605Updated last year
- AAAI'21: Data Augmentation for Graph Neural Networks☆195Updated last year
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- ☆272Updated 3 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆259Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆497Updated 3 years ago
- Code of GAMLP for Open Graph Benchmark. KDD‘22☆63Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆238Updated 2 years ago
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆81Updated 4 years ago
- ☆136Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆261Updated 9 months ago
- A Collection for HGNN (Heterogenous Graph Neural Network), including datasets, algorithms and so on.☆59Updated last year
- Pytorch implementation of DySAT: Deep Neural Representation Learning on Dynamic Graphs via Self-Attention Networks☆94Updated 3 years ago