RingBDStack / EAGLELinks
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
Sorting:
- This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The We…☆15Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆37Updated 9 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆32Updated last year
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆44Updated last month
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆40Updated 9 months ago
- ☆59Updated 8 months ago
- ☆34Updated 8 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆83Updated last year
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆25Updated 8 months ago
- [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.☆26Updated 9 months ago
- ☆19Updated 6 months ago
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- ☆17Updated 3 weeks ago
- A collection of papers on Graph Structural Learning (GSL)☆55Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- ☆25Updated last year
- Graph Few-Shot Class-Incremental Learning via Prototype Representation☆20Updated 2 years ago
- Pytorch implementation of EvenNet.☆20Updated 2 years ago
- ☆21Updated last year
- ☆49Updated 2 years ago
- ☆60Updated 2 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆91Updated 2 years ago
- TREND: TempoRal Event and Node Dynamics for Graph Representation Learning. WWW-2022.☆37Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆44Updated 3 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 5 months ago
- A pytorch implementation of graph transformer for node classification☆33Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆26Updated last year
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆58Updated 10 months ago