superallen13 / CaT-CGLLinks
☆16Updated last year
Alternatives and similar repositories for CaT-CGL
Users that are interested in CaT-CGL are comparing it to the libraries listed below
Sorting:
- ☆59Updated 10 months ago
- ☆10Updated 10 months ago
- Graph Few-Shot Class-Incremental Learning via Prototype Representation☆21Updated 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☆132Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆92Updated 4 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- This repo contians a list of paper related to graph incremental learning☆12Updated 2 years ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆39Updated 11 months ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆31Updated last year
- ☆23Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆25Updated 11 months ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- Streaming Graph Neural Networks via Continual Learning (CIKM 2020)☆43Updated 4 years ago
- ☆38Updated 3 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆85Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated 11 months ago
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆16Updated last year
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…☆44Updated 3 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Updated 3 years ago
- [WSDM 2023] "Alleviating Structrual Distribution Shift in Graph Anomaly Detection" by Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, H…☆23Updated 2 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
- ☆60Updated 2 years ago
- ☆35Updated 3 years ago
- ☆19Updated 4 months ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year