[ICLR'25 Spotlight] Revisiting Random Walks for Learning on Graphs (RWNN), in PyTorch
☆17Mar 4, 2025Updated last year
Alternatives and similar repositories for random-walk
Users that are interested in random-walk are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Jun 18, 2025Updated last year
- ☆42Jun 14, 2025Updated last year
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 2 years ago
- The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".☆22Jun 3, 2021Updated 5 years ago
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆63May 22, 2025Updated last year
- 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 Codebase For paper "One-step Language Modeling via Continuous Denoising"☆145Jun 12, 2026Updated 3 weeks ago
- A benchmark of meaningful graph datasets with tabular node features☆16Oct 29, 2025Updated 8 months ago
- Implementation of the BasePlanE models and the experiments from the NeurIPS 2023 paper "PlanE: Representation Learning over Planar Graphs…☆13Jan 27, 2024Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆93Nov 24, 2023Updated 2 years ago
- The recipes to build the third-party libraries for MeVisLab☆15Apr 14, 2026Updated 2 months ago
- Graph Positional and Structural Encoder☆57Jan 24, 2025Updated last year
- A generative one-for-all model for joint graph language modeling☆53Jan 21, 2026Updated 5 months ago
- [ACCV 2024 (Oral)] Official Implementation of "RayEmb: Arbitrary Landmark Detection in X-Ray Images Using Ray Embedding Subspace", Pragy…☆16Sep 7, 2025Updated 9 months ago
- Code for ISBI 2024 paper "Fully Differentiable Correlation-driven 2D/3D Registration for X-Ray to CT Image Fusion"☆10Aug 26, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Predicting molecular structure from multimodal spectroscopic data☆29Jun 19, 2026Updated 2 weeks ago
- The official implementation of "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs" (NeurIPS 2023)☆13Sep 1, 2025Updated 10 months ago
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆16Apr 17, 2025Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 2024Updated last year
- [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☆28Nov 27, 2024Updated last year
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 2 years ago
- [WWW 25] USPTO-LLM: A Large Language Model-Assisted Information-enriched Chemical Reaction Dataset☆19Dec 12, 2024Updated last year
- TABS: Transformer-based Automated Brain Segmentation☆20Jul 10, 2023Updated 2 years ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆13Nov 3, 2023Updated 2 years ago
- [MICCAI'24] GBT: Geometric-oriented Brain Transformer for Autism Diagnosis☆15Sep 19, 2024Updated last year
- ☆27Mar 21, 2024Updated 2 years ago
- List of papers on ICLR 2024☆58Mar 6, 2024Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- ☆15Aug 7, 2021Updated 4 years ago
- [NeurIPS'21] Higher-order Transformers for sets, graphs, and hypergraphs, in PyTorch☆67Nov 28, 2022Updated 3 years ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆29Jul 5, 2024Updated last year
- A curated list of papers and resources about multimodal learning on graphs.☆45Feb 28, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆32Feb 10, 2025Updated last year
- [ICLR 2021] Group Equivariant Generative Adversarial Networks.☆14May 6, 2021Updated 5 years ago
- Extract features and bounding boxes using the original Bottom-up Attention Faster-RCNN in a few lines of Python code☆11Sep 18, 2022Updated 3 years ago
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆33Mar 11, 2024Updated 2 years ago
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆19Jun 26, 2024Updated 2 years ago
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆30Apr 13, 2024Updated 2 years ago
- ☆11Mar 28, 2022Updated 4 years ago