Official Repo of SimTeG

A framework to empover LLMs on graph reasoning and generation. Refer to our paper: https://arxiv.org/pdf/2402.08785.pdf

[SIGIR'2024] "GraphGPT: Graph Instruction Tuning for Large Language Models"

experiment with "TALK LIKE A GRAPH: ENCODING GRAPHS FOR LARGE LANGUAGE MODELS" open source code

[KDD'2024 Survey+Tutorial] "LLM4Graph: A Survey of Large Language Models for Graphs"

Official implementation of SEED-LLaMA (ICLR 2024).

A generative one-for-all model for joint graph language modeling

A list of awesome papers and resources of recommender system on large language model (LLM).

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language is All a Graph Needs

[ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang

LAVIS - A One-stop Library for Language-Vision Intelligence

GraphTranslator:Aligning Graph Model to Large Language Model for Open-ended Tasks

Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning"

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

A python implement for Certifiable Robust Multi-modal Training

A Unified Python Library for Graph Prompting

Collection of awesome test-time (domain/batch/instance) adaptation methods

Accompanied repositories for our paper Graph foundation model

Awesome Papers About Performing Prompting On Graphs

A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.

Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)

SSCP: Improving Adaptive Conformal Prediction Using Self-supervised Learning (AISTATS 2023)

A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".

🦜🔗 Build context-aware reasoning applications

Must-read papers on graph foundation models (GFMs)