CodeGraph: Open-Taxonomy Knowledge Graph for Source Code with Wikidata Grounding

arXiv:2609.29474 · cs.SE, cs.CL, cs.IR · Submitted 2026-09-24 · Read on arXiv

cs.SE, cs.CL, cs.IR

Submitted: 2026-09-24

Updated: 2026-09-24

Code: https://github.com/halykoss/CodeGraph

Terminology

• Grounding — 27× in this paper · explained in 3 episodes
• Knowledge Graph — 26× in this paper · explained in 7 episodes
• Verifier — 19× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Knowledge graphs — 5× in this paper · explained in 2 episodes
• Abstraction — 4× in this paper · explained in 1 episode
• Accuracy — 3× in this paper · explained in 1 episode
• Core — 3× in this paper · explained in 2 episodes
• Graph Construction — 3× in this paper · explained in 3 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• LLM-as-a-Judge — 2× in this paper · explained in 3 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Algorithmic Primitives — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Granularity Mismatch — 1× in this paper · explained in 2 episodes
• Hallucination — 1× in this paper · explained in 3 episodes
• Ontology — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
• CodeSearchNet Challenge: Evaluating the State of Semantic Code Search
• StarCoder: may the source be with you!
• StarCoder 2 and The Stack v2: The Next Generation
• CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation
• CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks
• Code Llama: Open Foundation Models for Code
• Qwen3 Technical Report
• LEONARDO: A Pan-European Pre-Exascale Supercomputer for HPC and AI Applications
• Efficient Guided Generation for Large Language Models
• LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking

Related papers

• Falsification-Based Verification of LLM-Generated Optimization Models: Sound Test Batteries and Their Detection Limits
• GitSkills: A Dataset of Agent Skills on GitHub
• SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
• PackMonitor: Enabling Zero Package Hallucinations Through Decoding-Time Monitoring
• IntentCoding: Amplifying User Intent in Code Generation
• Incentives and Outcomes in Bug Bounties