lgalke / Incremental-GNNs
Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift
☆8Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Incremental-GNNs
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆44Updated 2 years ago
- This repository is the implementation of Federated Graph Classification over Non-IID Graphs.☆39Updated last year
- Official Code Repository for the paper - Personalized Subgraph Federated Learning (ICML 2023)☆44Updated last year
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆71Updated 2 years ago
- The code for paper "Cross Platforms Linguals and Models Social Bot Detection via Federated Adversarial Contrastive Knowledge Distillation…☆16Updated last year
- Implementation of Adversarial Privacy Graph Embedding in TensorFlow☆19Updated 4 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆63Updated last year
- ☆21Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆37Updated 4 years ago
- Source code for Learn Locally Correct Globally☆14Updated 3 years ago
- GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation (USENIX Security '23)☆44Updated last year
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆28Updated last year
- Official repository for AAAI'23 paper: Let Graph be the Go Board: Gradient-free Node Injection Attack for Graph Neural Networks via Reinf…☆21Updated 2 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks☆16Updated last year
- Official Code for FedGCN [NeurIPS 2023]☆59Updated 6 months ago
- Official PyTorch implementation of "Cross-Node Federated Graph Neural Network for Spatio-Temporal Modeling".☆65Updated 3 years ago
- This repository aims to provide links to works about privacy attacks and privacy preservation on graph data with Graph Neural Networks (G…☆22Updated last year
- Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem☆18Updated 3 years ago
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆25Updated 2 years ago
- [AAAI'23] Federated Learning on Non-IID Graphs via Structural Knowledge Sharing☆58Updated 2 years ago
- FedGS: Federated Graph-based Sampling with Arbitrary Client Availability, arxiv.org/abs/2211.13975) was accepted by AAAI 2023 Conference.☆16Updated last year
- ☆15Updated 3 months ago
- Defending graph neural networks against adversarial attacks (NeurIPS 2020)☆59Updated last year
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆41Updated 3 years ago
- Implementation of ICML'24 Paper "Graph Distillation with Eigenbasis Matching"☆10Updated 4 months ago
- Official implementation of "Graph Unlearning" (ACM CCS 2022)☆40Updated last year
- A collection of graph data used for semi-supervised node classification.☆35Updated 2 years ago
- [IEEE S&P 22] "LinkTeller: Recovering Private Edges from Graph Neural Networks via Influence Analysis" by Fan Wu, Yunhui Long, Ce Zhang, …☆21Updated 3 years ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆13Updated 8 months ago