thiviyanT / IntelliGraphsLinks
IntelliGraphs is a collection of graph datasets for benchmarking generative models for knowledge graphs.
☆19Updated 6 months ago
Alternatives and similar repositories for IntelliGraphs
Users that are interested in IntelliGraphs are comparing it to the libraries listed below
Sorting:
- Official implementation of A* Networks☆147Updated 2 years ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆146Updated 7 months ago
- Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.☆68Updated last year
- GiGL is an open-source library for training and inference of Graph Neural Networks at very large (billion) scale.☆56Updated 4 months ago
- ☆29Updated last year
- ☆150Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆74Updated 3 years ago
- ☆38Updated last year
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆46Updated 2 years ago
- [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?☆63Updated 4 months ago
- GraphRAG on Neo4j by finetuning GNN+LLM☆41Updated last month
- ☆33Updated last year
- Code for our paper "Graph Language Models"☆76Updated last year
- A collection of resources on the topic of Complex Logical Query Answering☆177Updated last year
- RelBench: Relational Deep Learning Benchmark☆286Updated last month
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- A Knowledge Graph Foundation Model for Universal In-Context Reasoning, NeurIPS 2024☆71Updated 6 months ago
- Temporal Graph Analysis with TGX☆26Updated 4 months ago
- [ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs☆30Updated 2 years ago
- Official implementation of Graph Neural Network Query Executor (ICML 2022)☆89Updated 2 years ago
- We want to try and evaluate LLMs using Knowledge Graphs☆106Updated 2 years ago
- Temporal Graph Benchmark project repo☆236Updated this week
- Natural Language is All a Graph Needs - LLM / Graph AI / Knowledge Graph - Experiments☆38Updated last year
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆35Updated 2 years ago
- ☆122Updated 2 years ago
- Multimodal Graph Learning: how to encode multiple multimodal neighbors with their relations into LLMs☆65Updated last year
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.☆68Updated last year
- Dynamic Graph Benchmark☆82Updated 2 years ago
- ☆35Updated 9 months ago
- Code for our paper "Attending to Graph Transformers"☆90Updated last year