Popular GitHub Repositories for Paths

Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight)

Reasoning Over Knowledge Graph Paths for Recommendation

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Python environment for AI agents to complete tasks on-device through a conversational chat interface. Agents plan step-wise execution paths with real-time problem solving to complete complex tasks.

Combining relational context and relational paths for knowledge graph completion

Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)

[ICCV 2021] Authors official PyTorch implementation of the "WarpedGANSpace: Finding non-linear RBF paths in GAN latent space".

Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships

Official PyTorch Implementation of "Self-supervised Auxiliary Learning with Meta-paths for Heterogeneous Graphs". NeurIPS 2020.

Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs

Automate Windows screenshots for Claude Code workflows in WSL2. Take screenshots (Win+Shift+S, Win+PrintScreen, Snipping Tool) and instantly get file paths copied to clipboard for pasting into Claude Code (Terminal or running in VS Code). No more manual save/copy/paste!

[WWW 2025] Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning

Searching for optimal paths in a customized Grid-world environment using Imitation Learning; Variational Adversarial Imitation Learning [VAIL]

Ranking and Selecting Multi-Hop Knowledge Paths to Better Predict Human Needs (NAACL 2019)

Official Implementation of K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction Prediction.

[NAACL(2019)] Generating Knowledge Graph Paths from Textual Definitions using Sequence-to-Sequence Models

Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net

MaskPlanner is a deep learning model for the quick generation of multiple, long-horizon paths from free-form 3D objects represented as point clouds.

Experiments on improving the HinDroid model