giuseppefutia / cdl2024Links
Material for CDL2024 Masterclass: "Mastering Graph Neural Networks: From Fundamentals to Applications"
☆12Updated 10 months ago
Alternatives and similar repositories for cdl2024
Users that are interested in cdl2024 are comparing it to the libraries listed below
Sorting:
- Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques☆78Updated 9 months ago
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.☆68Updated last year
- Videos, quizzes, code, and slideshows for an Introduction to Graph Neural Networks course☆124Updated 3 weeks ago
- Accompanying repository for my book about Graph Data Science☆83Updated 2 years ago
- The application is a end-user training and evaluation system for standard knowledge graph embedding models. It was developed to optimise …☆18Updated 5 months ago
- A Gentle Principled Introduction to Deep Reinforcement Learning☆19Updated 7 months ago
- A minimal yet unstoppable blueprint for multi-agent AI—anchored by the rare, far-reaching “Multi-Agent AI DAO” (2017 Prior Art)—empowerin…☆32Updated 10 months ago
- IntelliGraphs is a collection of graph datasets for benchmarking generative models for knowledge graphs.☆19Updated 8 months ago
- Code and Content for Manning Publication on Graph Neural Networks☆105Updated 8 months ago
- Jupyter notebooks for testing ML models☆21Updated 4 years ago
- Building Knowledge Graphs from Unstructured Text☆26Updated 5 years ago
- This is the repository for the CONFLARE (CONformal LArge language model REtrieval) Python package.☆20Updated last year
- Learning from Graphs: From Mathematical Principles to Practical Tools☆11Updated 4 years ago
- ☆24Updated 2 years ago
- GraphRAG on Neo4j by finetuning GNN+LLM☆51Updated 3 weeks ago
- nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets☆69Updated 2 years ago
- ☆159Updated last year
- Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.☆31Updated 2 years ago
- Official code for paper: Conservative objective models are a special kind of contrastive divergence-based energy model☆14Updated 2 years ago
- Mapper implementation (Topological Data Analysis) in Python☆63Updated 7 years ago
- ☆10Updated last year
- DemoKG is a knowledge graph tutorials for students and researchers. The tutorials include related topics suchas SPO triple preparation, G…☆12Updated last year
- Plattform for building a RDF Knowledge Graph from text Sources☆55Updated 3 years ago
- Data for the Chat With Your Data benchmark.☆143Updated last year
- All the material needed to use MC-CP and the Adaptive MC Dropout method☆25Updated 6 months ago
- Causal Agent based on Large Language Model☆56Updated 2 months ago
- Construct knowledge graphs from unstructured data sources, use graph algorithms for enhanced GraphRAG with a DSPy-based chat bot locally,…☆184Updated this week
- Course titled Practical Machine Learning on Graphs☆45Updated 5 years ago
- Material for the hands-on tutorial on Graph Deep Learning held at the Alan Turing Institute☆59Updated last year
- ☆44Updated 2 years ago