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 2 years ago
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- The implementation for DropMessage.☆39Updated 2 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
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆90Updated 2 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- ☆49Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning☆24Updated 3 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆37Updated 3 years ago
- 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
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆46Updated 3 years ago
- Code for ECML-PKDD 2022 paper "GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Cont…☆24Updated 2 years ago
- official code for our KDD21 paper "Adaptive Transfer Learning on Graph Neural Networks"☆43Updated 3 years ago
- [TNNLS] Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning☆98Updated 4 years ago
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆143Updated 3 years ago
- ☆38Updated 4 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 3 years ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆105Updated last year
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆94Updated 7 months ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 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
- A curated list of papers and code related to class-imbalanced learning on graphs (CILG).☆43Updated 11 months ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆25Updated 2 years ago
- ☆47Updated 3 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆63Updated 2 years ago