xkLi-Allen / Awesome-GNN-Research
My future research
☆404Updated last year
Related projects: ⓘ
- Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.☆314Updated 7 months ago
- FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR…☆178Updated 9 months ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆72Updated 2 years ago
- Archive of Temporal Knowledge Reasoning in Social Network and Knowledge Graph☆409Updated 10 months ago
- A multi-backend graph learning library.☆212Updated last month
- Must-read papers on graph foundation models (GFMs)☆248Updated 2 months ago
- This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.☆840Updated last month
- Bag of Tricks for Graph Neural Networks.☆276Updated 2 months ago
- A curated list for awesome self-supervised learning for graphs.☆368Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆299Updated last year
- code of FedGNN☆81Updated 2 years ago
- Official Code for FedGCN [NeurIPS 2023]☆58Updated 4 months ago
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆65Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆305Updated 4 months ago
- Some GNNs are implemented using PyG for link prediction tasks, including: GCN, GraphSAGE, GAT, Node2Vec、RGCN、HGT and HAN, which will cont…☆41Updated last year
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆20Updated last year
- ☆136Updated last year
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- A curated collection of adversarial attack and defense on graph data.☆546Updated 10 months ago
- Papers about out-of-distribution generalization on graphs.☆149Updated last year
- FedGraph (Federated Graph) is a library built upon PyTorch to easily train Graph Neural Networks (GNNs) under federated (distributed) set…☆15Updated last week
- [NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang…☆548Updated 2 months ago
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆461Updated last year
- cs224w（图机器学习）2021冬季课程的colab☆225Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆160Updated 4 months ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆182Updated last week
- PyG implementation of GCN (Semi-Supervised Classification with Graph Convolutional Networks, ICLR 2017).Datasets: CiteSeer, Cora, PubMed,…☆62Updated last year
- Papers about developing deep Graph Neural Networks (GNNs)☆300Updated last year
- This is a repository contaning baseline code for DGraphFin Dataset☆111Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆388Updated 3 years ago