JViggiani

JViggiani's Stars

• Azure-Samples/azure-search-openai-demo

  A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

  Language:Python6.5k2301.2k4.4k

• varunshenoy/GraphGPT

  Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️‍♂️

  Language:JavaScript4.4k5629391

• docker/genai-stack

  Langchain + Docker + Neo4j + Ollama

  Language:Python4.2k6494925

• RManLuo/Awesome-LLM-KG

  Awesome papers about unifying LLMs and KGs

  2.1k1141160

• uma-pi1/kge

  LibKGE - A knowledge graph embedding library for reproducible research

  Language:Python78920171128

• SpaceLearner/Awesome-DynamicGraphLearning

  Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).

  Language:Shell60815382

• THU-KEG/OmniEvent

  A comprehensive, unified and modular event extraction toolkit.

  Language:Python359103434

• cmavro/GNN-RAG

  GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning

  Language:Python26741550

• Lambda-3/Graphene

  Coreference Resolution, Simplification and Open Relation Extraction Pipeline

  Language:Java135133338

• declare-lab/RelationPrompt

  This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

  Language:Python12771517

• neo4j-partners/neo4j-generative-ai-google-cloud

  Demonstration application showing how Neo4j works with Google Vertex AI Generative AI

  Language:Jupyter Notebook1236146

• dstlry/dstlr

  scalable knowledge graph construction from unstructured text

  Language:Scala9552021

• wtangdev/UniRel

  released code for our EMNLP22 paper: UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction

  Language:Python8812317

• THU-KEG/MAVEN-ERE

  Source code and dataset for EMNLP 2022 paper "MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction".

  Language:Python807107

• declare-lab/dialog-HGAT

  Dialogue Relation Extraction with Document-level Heterogeneous Graph Attention Networks

  Language:Python568313

• d1egoprog/Text2KG

  Plattform for building a RDF Knowledge Graph from text Sources

  35225

• declare-lab/HyperRED

  This repository implements our EMNLP 2022 research paper A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach.

  Language:Python27532

• majiga/text2kg-uwa

  The University of Western Australia's submission to the ICDM 2019 Knowledge Graph Contest.

  Language:Python12302

• fractalego/zero-shot-relation-extractor

  A zero-shot relation extractor, easily downloadable from the HuggingFace repo.

  Language:Python11314

• alexplatasl/BAMmodel

  Agent-based computational economics (ACE)

  Language:NetLogo6503