Amanda-Zheng / Awesome-Data-Centric-GraphMLView external linksLinks
A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)
☆39Sep 23, 2023Updated 2 years ago
Alternatives and similar repositories for Awesome-Data-Centric-GraphML
Users that are interested in Awesome-Data-Centric-GraphML are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"☆16Jul 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
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated last year
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 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
- ☆97Jul 5, 2024Updated last year
- Code for the paper "SizeShiftReg: a Regularization Method for Improving Size-Generalization in Graph Neural Networks"☆12Jan 17, 2023Updated 3 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Mar 18, 2024Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆144Nov 30, 2022Updated 3 years ago
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Mar 21, 2024Updated last year
- 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
- ☆18Oct 4, 2022Updated 3 years ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Jun 20, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Feb 2, 2026Updated 2 weeks ago
- ICLR25_Unifying Unsupervised Graph-Level Out-of-Distribution Detection and Anomaly Detection: A Benchmark☆62Aug 19, 2025Updated 5 months ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Apr 5, 2023Updated 2 years ago
- [Arxiv 2025] Official code and datasets of paper: GNNs as Predictors of Agentic Workflow Performances☆21Jan 15, 2026Updated last month
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Apr 23, 2024Updated last year
- ☆12Nov 1, 2024Updated last year
- The official source code for "Subgraph Federated Learning for Local Generalization (FedLoG)" at ICLR 2025 (Oral).☆15May 6, 2025Updated 9 months ago
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆49Sep 9, 2021Updated 4 years ago
- Code for IEEE ICDM 23 PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection☆13May 9, 2024Updated last year
- [SSAC 2026] Better Prevent than Tackle: Valuing Defense in Soccer Based on Graph Neural Networks☆15Jan 17, 2026Updated 3 weeks ago
- Source code of paper "Systematic Assessment of Factual Knowledge in Large Language Models" - EMNLP Findings 2023☆17Nov 18, 2023Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆30Jul 18, 2024Updated last year
- Implement of our TKDE paper: Hyperbolic Graph Learning for Social Recommendation☆13Jun 3, 2024Updated last year
- Official Code for our MICCAI 2023 paper "CoactSeg: Learning from Heterogeneous Data for New Multiple Sclerosis Lesion Segmentation"☆33Jan 12, 2024Updated 2 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Nov 23, 2022Updated 3 years ago
- Official Code for our MedIA paper "Mutual Consistency Learning for Semi-supervised Medical Image Segmentation" (ESI Highly Cited Paper)☆175Jul 10, 2023Updated 2 years ago
- The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computati…☆12Aug 31, 2023Updated 2 years ago
- ☆15Nov 3, 2022Updated 3 years ago
- Extending the Neural Graph Algorithm Executor☆13Dec 8, 2022Updated 3 years ago
- The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (ICML 2024)☆14Jun 25, 2024Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Jun 23, 2023Updated 2 years ago
- The official source code for "Vision Language Model is NOT All You Need: Augmentation Strategies for Molecule Language Model".☆14Jul 23, 2024Updated last year
- Official Code for our MICCAI 2022 paper "Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation"☆127May 23, 2024Updated last year