Sean-Huang65 / AUX-TS
official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"
☆42Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for AUX-TS
- DGL Implementation of ICML 2020 Paper 'Contrastive Multi-View Representation Learning on Graphs'☆63Updated 11 months ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆32Updated 2 years ago
- Adversarial Graph Augmentation to Improve Graph Contrastive Learning☆85Updated 2 years ago
- Python implementation of "Unsupervised Domain Adaptive Graph Convolutional Networks", WWW-20.☆55Updated 3 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated last year
- ☆93Updated 3 years ago
- ☆50Updated this week
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆28Updated 8 months ago
- Imbalanced Network Embedding vi aGenerative Adversarial Graph Networks☆25Updated 3 years ago
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆77Updated 2 years ago
- Source code for WWW 2021 paper "Graph Structure Estimation Neural Networks"☆58Updated 3 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆40Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆91Updated 8 months ago
- Official Implementation of AdaGCN (ICLR 2021)☆60Updated 2 years ago
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆24Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆16Updated 2 weeks ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- Learning to Drop: Robust Graph Neural Network via Topological Denoising & Robust Graph Representation Learning via Neural Sparsification☆74Updated 3 years ago
- PyGDA is a Python library for Graph Domain Adaptation☆17Updated 2 months ago
- Code for ICDM2020 full paper: "Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning"☆42Updated 2 years ago
- Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"☆54Updated 3 years ago
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆19Updated last year
- The official code of WWW2021 paper: Extract the Knowledge of Graph Neural Networks and Go Beyond it: An Effective Knowledge Distillation …☆73Updated 3 years ago
- ☆38Updated last year
- ☆44Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆82Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆49Updated last year