This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"
☆17Oct 27, 2023Updated 3 years ago
Alternatives and similar repositories for Curriculum_learning_for_GNNs
Users that are interested in Curriculum_learning_for_GNNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆13Nov 21, 2025Updated 11 months ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆17Jun 9, 2025Updated last year
- ☆18May 3, 2024Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Oct 16, 2023Updated 3 years ago
- Code for TNNLS paper "Homophily-Enhanced Self-supervision for Graph Structure Learning: Insights and Directions"☆15Feb 27, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- code for progressive gsl☆12Jan 15, 2026Updated 9 months ago
- WIP: Unnoficial implementation of diffusion autoencoders, using pytorch☆11Feb 15, 2023Updated 3 years ago
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆25Jun 23, 2024Updated 2 years ago
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Apr 23, 2024Updated 2 years ago
- ☆10Nov 15, 2024Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆67Jun 23, 2023Updated 3 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Feb 12, 2025Updated last year
- ☆18Jul 2, 2023Updated 3 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆38Oct 6, 2023Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆12Oct 14, 2023Updated 3 years ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated 2 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- ☆11May 17, 2026Updated 5 months ago
- A curated list of papers on graph structure learning (GSL).☆53Dec 31, 2024Updated last year
- A curated list of awesome graph structure learning approaches☆43Nov 24, 2024Updated last year
- Mining User-aware Multi-relations for Fake News Detection in Large Scale Online Social Networks (WSDM 2023)☆13Jan 4, 2023Updated 3 years ago
- ☆15Dec 28, 2023Updated 2 years ago
- [KDD 2025] Rewarding Graph Reasoning Process makes LLMs more Generalized Reasoners☆13May 30, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- the code of MoG☆23Aug 6, 2024Updated 2 years ago
- ☆22Oct 14, 2022Updated 4 years ago
- Code for SGDD☆26Oct 19, 2023Updated 3 years ago
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆76Jul 1, 2025Updated last year
- ☆13Dec 28, 2024Updated last year
- The official codes of Rethinking Knowledge Graph Evaluation Under the Open-World Assumption (NeurIPS 2022)☆24Sep 20, 2022Updated 4 years ago
- ☆12Apr 3, 2024Updated 2 years ago
- Reference Python implementation of Lyapunov-based online scheduling for energy minimization in multi-AP wireless-powered mobile edge comp…☆10Aug 3, 2026Updated 3 months ago
- A Flexible Generative Framework for Graph-based Semi-supervised Learning (NeurIPS 2019)☆16Nov 14, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆270Apr 14, 2025Updated last year
- ☆12Oct 29, 2020Updated 6 years ago
- ☆10Jun 11, 2023Updated 3 years ago
- A collection of papers on Graph Structural Learning (GSL)☆57Jan 8, 2024Updated 2 years ago
- [ICML'24] BAT: 🚀 Boost Class-imbalanced Node Classification with <10 lines of Code | 从拓扑视角出发10行代码改善类别不平衡节点分类☆29Nov 27, 2024Updated last year
- Accepted paper of SIGMOD 2023, DUCATI: A Dual-Cache Training System for Graph Neural Networks on Giant Graphs with the GPU☆16Dec 15, 2023Updated 2 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆40May 7, 2025Updated last year