Alternatives and similar repositories for llm-facteval:

Users that are interested in llm-facteval are comparing it to the libraries listed below

• WtaoZhao / GraphGLOW
  PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
  ☆36Updated last year
• PeterGriffinJin / Edgeformers
  Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)
  ☆60Updated last year
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆93Updated 6 months ago
• snap-stanford / prodigy
  ☆88Updated last year
• DeepGraphLearning / InductiveQE
  Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)
  ☆47Updated 2 years ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆55Updated 5 months ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated last month
• Amanda-Zheng / Auto-HeG
  Pytorch implementation of WWW'23:"Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs"
  ☆15Updated last year
• huankoh / How-Far-are-We-from-Robust-Long-Abstractive-Summarization
  The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".
  ☆18Updated last year
• KiddoZhu / NBFNet-PyG
  PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)
  ☆66Updated 2 years ago
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆34Updated 3 months ago
• cmavro / GRAD
  [ECML-PKDD 2023] Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs
  ☆29Updated last year
• XiaoxinHe / tape_arxiv_2023
  ☆34Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 3 months ago
• yuwvandy / Large-Graph-Generative-Model
  ☆27Updated 8 months ago
• AndyJZhao / GraphText
  ☆30Updated last year
• THUDM / GraphAlign
  GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
  ☆10Updated 5 months ago
• wjn1996 / InstructGraph
  A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf
  ☆77Updated 7 months ago
• april-tools / gekcs
  How to Turn Your Knowledge Graph Embeddings into Generative Models
  ☆50Updated 7 months ago
• AndrewZhou924 / Awesome-Graph-Prompting
  A curated list of resources for graph prompting methods
  ☆29Updated last year
• iDEA-iSAIL-Lab-UIUC / pyg-ssl
  Graph Self-Supervised Learning Toolkit
  ☆20Updated last week
• PeterGriffinJin / Awesome-Multimodal-on-Graphs
  A curated list of papers and resources about multimodal learning on graphs.
  ☆26Updated this week
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆47Updated 2 years ago
• snap-stanford / csr
  ☆34Updated last year
• RManLuo / ChatRule
  Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.
  ☆57Updated last year
• LingxiaoShawn / GNNAsKernel
  Source code for From Stars to Subgraphs (ICLR 2022)
  ☆67Updated 11 months ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆74Updated 2 years ago
• AndyJZhao / GLEM
  ☆125Updated last year
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆92Updated 11 months ago
• ChandlerBang / GTrans
  [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"
  ☆56Updated last year