JindongGu / GraCapsNet
A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition
☆9Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for GraCapsNet
- ☆7Updated last year
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆33Updated last year
- Graph Knowledge Distillation☆13Updated 4 years ago
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Updated last year
- A meta-learning framework for few-shot graph learning☆18Updated last year
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆50Updated 7 months ago
- ☆48Updated 2 years ago
- The implementation of paper "Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks"☆11Updated 3 years ago
- Code for "Neuron Shapley: Discovering the Responsible Neurons"☆23Updated 6 months ago
- This is the source code for Maximum Mean Discrepancy Test is Aware of Adversarial Attacks (ICML2021).☆19Updated 2 years ago
- ☆16Updated 4 years ago
- CVPR 2024 - Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity☆15Updated 5 months ago
- SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network☆12Updated 2 years ago
- Implementation for NIPS2023: A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning☆11Updated 6 months ago
- Unsupervised Meta Learning for Image Classification (UMTRA) algorithm☆20Updated last year
- This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic …☆31Updated 2 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- LSA : Layer Sustainability Analysis framework for the analysis of layer vulnerability in a given neural network. LSA can be a helpful too…☆16Updated 2 years ago
- ☆18Updated 2 years ago
- ☆18Updated 2 years ago
- [ICLR 2023, Spotlight] Indiscriminate Poisoning Attacks on Unsupervised Contrastive Learning☆28Updated 11 months ago
- Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation☆25Updated 3 years ago
- Code Release for Learning to Adapt to Evolving Domains☆30Updated 3 years ago
- Domain Generalization by Learning and Removing Domain-specific Features, NeurIPS 2022☆20Updated last year
- [ICLR 2022] Graph-Relational Domain Adaptation☆43Updated 7 months ago
- Unsupervised Domain Adaptation on Graphs☆13Updated 2 years ago
- [NeurIPS 2023] Understanding and Improving Feature Learning for Out-of-Distribution Generalization☆24Updated 5 months ago
- Source code for the paper "Federated Learning with Spiking Neural Networks".☆33Updated 3 years ago
- impelmentation of https://arxiv.org/pdf/2001.05647.pdf☆30Updated 3 years ago
- Code Release for "Self-supervised Learning is More Robust to Dataset Imbalance"☆37Updated 2 years ago