RobinLu1209 / GeometerLinks
Graph Few-Shot Class-Incremental Learning via Prototype Representation
☆21Updated 3 years ago
Alternatives and similar repositories for Geometer
Users that are interested in Geometer are comparing it to the libraries listed below
Sorting:
- ☆59Updated last year
- ☆16Updated last year
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- Contrastive Attributed Network Anomaly Detection with Data Augmentation (PAKDD'22)☆27Updated 3 years ago
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆45Updated 3 years ago
- An official source code for paper "Graph Anomaly Detection via Multi-Scale Contrastive Learning Networks with Augmented View", accepted b…☆63Updated last year
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆105Updated last year
- This is the repository for the AAAI 21 paper [Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Lea…☆17Updated 2 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆95Updated 4 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆87Updated last year
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆37Updated 3 years ago
- ☆38Updated 3 years ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆24Updated 2 years ago
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆43Updated 4 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆34Updated 3 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- The implementation for DropMessage.☆37Updated 2 years ago
- ☆49Updated 2 years ago
- ☆38Updated 3 years ago
- [WWW 2023] "Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum" by Yuan Gao, Xiang Wang, Xiangnan He, Zhe…☆39Updated 2 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆25Updated 2 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- Source code of NeurIPS 2022 paper “Co-Modality Graph Contrastive Learning for Imbalanced Node Classification”☆20Updated 2 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- ☆31Updated 3 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆134Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆44Updated 2 years ago