Amanda-Zheng / LEBEDView external linksLinks
Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"
☆16Mar 23, 2024Updated last year
Alternatives and similar repositories for LEBED
Users that are interested in LEBED are comparing it to the libraries listed below
Sorting:
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Mar 21, 2024Updated last year
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Nov 1, 2023Updated 2 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Oct 6, 2023Updated 2 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Jun 15, 2023Updated 2 years ago
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- Official code implementation for ICDE 23 paper MAMDR: A Model Agnostic Learning Method for Multi-Domain Recommendation☆38Nov 27, 2023Updated 2 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆29Nov 12, 2024Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34May 12, 2023Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- This repo contians a list of paper related to graph incremental learning☆14Sep 26, 2023Updated 2 years ago
- ☆13Jun 18, 2025Updated 7 months ago
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆11Oct 14, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Oct 13, 2022Updated 3 years ago
- Code for Mind the Label Shift of Augmentation-based Graph OOD generalization (LiSA) in CVPR 2023. LiSA is a model-agnostic Graph OOD fram…☆16Jun 24, 2023Updated 2 years ago
- Official code implementation for SIGIR 23 paper Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion☆43Oct 4, 2024Updated last year
- Official code for RawNP (ECML-PKDD 2023)☆20Feb 21, 2025Updated 11 months ago
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆42Mar 18, 2023Updated 2 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.☆50Jul 1, 2025Updated 7 months ago
- Open-source datasets for paper "Fairness in Graph Mining: A Survey".☆19Nov 3, 2022Updated 3 years ago
- The code of CIKM 2023 short paper : Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA☆19Jul 19, 2024Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Dec 21, 2024Updated last year
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆25Dec 1, 2022Updated 3 years ago
- ☆22Oct 14, 2022Updated 3 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 2 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Jun 23, 2023Updated 2 years ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- This repository summarises the open source codes of our group☆27Nov 3, 2022Updated 3 years ago
- ☆26Mar 21, 2024Updated last year
- Lifelong Learning of Graph Neural Networks for Open-World Node Classification☆30Oct 4, 2023Updated 2 years ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆72Oct 28, 2024Updated last year