Papers about developing deep Graph Neural Networks (GNNs)
☆295Mar 29, 2023Updated 2 years ago
Alternatives and similar repositories for awesome-deep-gnn
Users that are interested in awesome-deep-gnn are comparing it to the libraries listed below
Sorting:
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Oct 11, 2022Updated 3 years ago
- Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).☆1,713Feb 2, 2024Updated 2 years ago
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Nov 15, 2023Updated 2 years ago
- Repository for benchmarking graph neural networks (JMLR 2023)☆2,650Jun 22, 2023Updated 2 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆166Aug 30, 2022Updated 3 years ago
- PyTorch implementation of "Simple and Deep Graph Convolutional Networks"☆358Jul 9, 2020Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,187Jul 31, 2022Updated 3 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Dec 29, 2021Updated 4 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆109Jun 18, 2025Updated 8 months ago
- A library for graph deep learning research☆2,001Jul 15, 2024Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆508Aug 12, 2022Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Apr 25, 2022Updated 3 years ago
- This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification☆475Dec 7, 2022Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆81Dec 7, 2021Updated 4 years ago
- ☆137Aug 14, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,075May 6, 2025Updated 10 months ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)☆536Feb 4, 2023Updated 3 years ago
- Papers about explainability of GNNs☆789Jan 1, 2026Updated 2 months ago
- links to conference publications in graph-based deep learning☆5,030Feb 7, 2026Updated last month
- ☆170Feb 28, 2022Updated 4 years ago
- Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"☆304May 12, 2023Updated 2 years ago
- [ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision☆159Apr 7, 2023Updated 2 years ago
- ☆19Mar 21, 2022Updated 3 years ago
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆169Apr 22, 2024Updated last year
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆474Aug 14, 2023Updated 2 years ago
- Papers about graph transformers.☆920Mar 19, 2025Updated 11 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆897Dec 20, 2023Updated 2 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆164Nov 28, 2023Updated 2 years ago
- Distance Encoding for GNN Design☆188Mar 20, 2021Updated 4 years ago
- CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)☆1,817Feb 1, 2024Updated 2 years ago
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 5 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆356Jun 12, 2025Updated 8 months ago
- A curated collection of adversarial attack and defense on graph data.☆580Nov 7, 2023Updated 2 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,018Jul 27, 2021Updated 4 years ago