RingBDStack / EAGLE
Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"
☆22Updated last year
Alternatives and similar repositories for EAGLE:
Users that are interested in EAGLE are comparing it to the libraries listed below
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆14Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆32Updated 6 months ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆24Updated last year
- ☆16Updated 6 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆28Updated 9 months ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆25Updated 6 months ago
- ☆13Updated 9 months ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 3 months ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆21Updated 6 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆35Updated 6 months ago
- Awesome Few-Shot Learning on Graphs☆15Updated 2 weeks ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆47Updated 7 months ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆20Updated 2 years ago
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆35Updated 3 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- ☆56Updated 5 months ago
- ☆61Updated 2 years ago
- Awesome Graph Condensation Papers☆37Updated this week
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆36Updated last year
- ☆18Updated 3 months ago
- [Neurips 2024] Disentangled Graph Homophily☆24Updated 3 months ago
- ☆47Updated 2 years ago
- ☆26Updated 5 months ago
- ☆15Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆28Updated last week
- Community-aware Graph Transformer (CGT) is a novel Graph Transformer model that utilizes community structures to address node degree bias…☆13Updated 2 weeks ago