[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:
- [ICLR'26] Flock: A Knowledge Graph Foundation Model via Learning on Random Walks, in PyTorch☆21Jun 8, 2026Updated 4 months ago
- ☆15Jun 18, 2025Updated last year
- 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
- [NeurIPS'23 Spotlight] Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance (LPS), in PyTorch☆31Apr 13, 2024Updated 2 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 3 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.
- Block-R1: Multi-domain RL Post-training Benchmark for dLLMs.☆22Jul 30, 2026Updated 3 months ago
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆17Jan 19, 2024Updated 2 years ago
- A PyG-based package of spectral GNNs with benchmark evaluations (SIGMOD 2026).☆19Aug 20, 2025Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆61May 22, 2025Updated last year
- 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
- A benchmark of meaningful graph datasets with tabular node features☆16Oct 29, 2025Updated last year
- Official Code Repo for Paper: Posterior Refinement☆14Sep 22, 2026Updated last month
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆94Nov 24, 2023Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- [AAAI'23] FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction https://arxiv.org/abs/2304.00902☆11Apr 9, 2023Updated 3 years ago
- ☆14Nov 3, 2023Updated 2 years ago
- Official codebase for "How Expressive are Knowledge Graph Foundation Models?" (ICML 2025)☆19Oct 20, 2026Updated last week
- Official implementation of CastFlow: Bridging Evidence Acquisition and Accurate Prediction in Agentic Time Series Forecasting.☆20Updated this week
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Oct 22, 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
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆76Dec 30, 2024Updated last year
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 4 years ago
- The recipes to build the third-party libraries for MeVisLab☆15Jul 15, 2026Updated 3 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- The official implementation of "A Theory of Link Prediction via Relational Weisfeiler-Leman on Knowledge Graphs" (NeurIPS 2023)☆14Sep 1, 2025Updated last year
- Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models☆27Mar 25, 2024Updated 2 years ago
- TABS: Transformer-based Automated Brain Segmentation☆20Jul 10, 2023Updated 3 years ago
- A generative one-for-all model for joint graph language modeling☆55Jan 21, 2026Updated 9 months ago
- [MICCAI'24] GBT: Geometric-oriented Brain Transformer for Autism Diagnosis☆15Sep 19, 2024Updated 2 years ago
- List of papers on ICLR 2024☆58Mar 6, 2024Updated 2 years ago
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆21Jun 26, 2024Updated 2 years ago
- A Comprehensive Benchmark of Imbalanced Graph Learning (Accepted by ICLR 2025 Spotlight)☆19Apr 17, 2025Updated last year
- ☆15Aug 7, 2021Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆18Sep 30, 2026Updated last month
- PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))☆19Jul 5, 2024Updated 2 years ago
- ☆57Oct 25, 2023Updated 3 years ago
- Patton: Language Model Pretraining on Text-rich Networks (ACL 2023 main oral)☆32Feb 10, 2025Updated last year
- code and data for Improving Temporal Link Prediction via Temporal Walk Matrix Projection, NeurIPS 2024☆18Oct 5, 2024Updated 2 years ago
- [ICLR 2025 Spotlight] LayerDAG: A Layerwise Autoregressive Diffusion Model of Directed Acyclic Graphs☆30Jan 26, 2025Updated last year
- Accompanied repositories for our paper Graph foundation model☆238Nov 11, 2024Updated last year