Alternatives and similar repositories for talk-like-a-graph

Users that are interested in talk-like-a-graph are comparing it to the libraries listed below

• DeepGraphLearning / GraphAny
  GraphAny: Fully-inductive Node Classification on Arbitrary Graphs
  ☆145Updated 7 months ago
• DeepGraphLearning / ULTRA
  A foundation model for knowledge graph reasoning
  ☆559Updated 7 months ago
• snap-stanford / relbench
  RelBench: Relational Deep Learning Benchmark
  ☆286Updated 3 weeks ago
• XiaoxinHe / G-Retriever
  Official Implementation of NeurIPS 2024 paper "G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question A…
  ☆480Updated 5 months ago
• cmavro / GNN-RAG
  GNN-RAG: Graph Neural Retrieval for Large Language Modeling Reasoning
  ☆358Updated last year
• neo4j-product-examples / neo4j-gnn-llm-example
  GraphRAG on Neo4j by finetuning GNN+LLM
  ☆41Updated last month
• DeepGraphLearning / AStarNet
  Official implementation of A* Networks
  ☆147Updated 2 years ago
• thiviyanT / IntelliGraphs
  IntelliGraphs is a collection of graph datasets for benchmarking generative models for knowledge graphs.
  ☆19Updated 6 months ago
• Heidelberg-NLP / GraphLanguageModels
  Code for our paper "Graph Language Models"
  ☆74Updated last year
• AndyJZhao / GraphText
  ☆33Updated last year
• neuralgraphdatabases / awesome-logical-query
  A collection of resources on the topic of Complex Logical Query Answering
  ☆177Updated last year
• yuwvandy / Large-Graph-Generative-Model
  ☆29Updated last year
• Paureel / LLM-SCI-GEN
  Papers about scientific hypothesis generation with large language models (LLMs).
  ☆74Updated 3 months ago
• PeterGriffinJin / Awesome-Language-Model-on-Graphs
  A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey" (TKDE)
  ☆953Updated 6 months ago
• iDEA-iSAIL-Lab-UIUC / pyg-ssl
  Graph Self-Supervised Learning Toolkit
  ☆43Updated 2 months ago
• awslabs / graphstorm
  Enterprise graph machine learning framework for billion-scale graphs for ML scientists and data scientists.
  ☆431Updated last week
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆73Updated 3 years ago
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆195Updated last year
• snap-research / GiGL
  GiGL is an open-source library for training and inference of Graph Neural Networks at very large (billion) scale.
  ☆56Updated 4 months ago
• hamed1375 / Exphormer
  Exphormer: Sparse Transformer for Graphs
  ☆186Updated last year
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆63Updated 4 months ago
• RManLuo / gfm-rag
  Graph Foundation Model for Retrieval Augmented Generation
  ☆121Updated last month
• XiaoxinHe / tape_arxiv_2023
  ☆38Updated last year
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆236Updated last month
• Graph-COM / SubgraphRAG
  [ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation
  ☆108Updated 7 months ago
• HaitaoMao / Awesome_Graph_Foundation_Models
  Accompanied repositories for our paper Graph foundation model
  ☆217Updated 10 months ago
• snap-stanford / POPPER
  Automated Hypothesis Testing with Agentic Sequential Falsifications
  ☆223Updated 4 months ago
• Mircus / HyperCat
  a python library for cats and hypercats
  ☆22Updated 2 weeks ago
• mlabonne / graph-neural-network-course
  Free hands-on course about Graph Neural Networks using PyTorch Geometric.
  ☆397Updated 2 years ago
• XiaoxinHe / icml2023_learning_on_graphs
  List of papers on ICML2023.
  ☆55Updated 2 years ago