Alternatives and similar repositories for hypergraph-tabular-lm

Users that are interested in hypergraph-tabular-lm are comparing it to the libraries listed below

• wjn1996 / InstructGraph
  A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf
  ☆79Updated last year
• alibaba / GraphTranslator
  GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks
  ☆107Updated last year
• mistyreed63849 / Graph-LLM
  GraphLLM: Boosting Graph Reasoning Ability of Large Language Model
  ☆113Updated last year
• CurryTang / Graph-LLM
  Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
  ☆304Updated 6 months ago
• AndyJZhao / GLEM
  ☆129Updated 5 months ago
• TRAIS-Lab / LLM-Structured-Data
  ☆27Updated last year
• Arthur-Heng / NLGraph
  Official repository of "Can Language Models Solve Graph Problems in Natural Language?". NeurIPS 2023 (Spotlight)
  ☆137Updated last year
• CurryTang / LLMGNN
  Label-free Node Classification on Graphs with Large Language Models (LLMS)
  ☆84Updated last year
• eaglelab-zju / DGLD
  Deep Graph Outlier Detection
  ☆66Updated last year
• vermouthdky / SimTeG
  Official Repo of SimTeG
  ☆42Updated last year
• Zehong-Wang / GFT
  GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
  ☆50Updated 3 months ago
• PeterGriffinJin / Heterformer
  Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)
  ☆26Updated last year
• nju-websoft / LKGE
  Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023
  ☆32Updated 2 years ago
• VITA-Group / LLaGA
  [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
  ☆131Updated last year
• LechengKong / OneForAll
  A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.
  ☆228Updated last year
• pnnl / SLiCE
  Subgraph Based Learning of Contextual Embedding
  ☆29Updated 3 years ago
• ZhuYun97 / ENGINE
  Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"
  ☆34Updated last year
• Starlien95 / GraphPrompt
  GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks
  ☆160Updated 10 months ago
• PeterGriffinJin / Edgeformers
  Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks (ICLR 2023)
  ☆69Updated 2 years ago
• Data-Centric-GraphML / awesome-papers
  A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
  ☆46Updated last year
• Wuyxin / DIR-GNN
  (ICLR 2022) Discovering Invariant Rationales for Graph Neural Networks
  ☆130Updated 2 years ago
• AndyJZhao / GraphText
  ☆33Updated last year
• zjukg / KGTransformer
  [Paper][WWW2023] Structure Pre-training and Prompt Tuning for Knowledge Graph Transfer
  ☆49Updated 2 years ago
• kaize0409 / awesome-graph-data-augmentaion
  A curated list of publications and code about data augmentaion for graphs.
  ☆63Updated 3 years ago
• NineAbyss / GLBench
  The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…
  ☆64Updated 10 months ago
• DeepGraphLearning / GNN-QE
  Official implementation of Graph Neural Network Query Executor (ICML 2022)
  ☆89Updated 2 years ago
• wwbrannon / congrat
  Code for the paper "ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings" -- TextGraphs-17 @ ACL 2024
  ☆23Updated last year
• snap-stanford / csr
  ☆35Updated 2 years ago
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆102Updated last year
• JiaruiFeng / TAGLAS
  An atlas of text-attributed graph datasets in the era of large graph and language model.
  ☆59Updated 8 months ago