sheldonresearch / ProG
A Unified Python Library for Graph Prompting
☆540Updated 3 weeks ago
Alternatives and similar repositories for ProG:
Users that are interested in ProG are comparing it to the libraries listed below
- Awesome Papers About Performing Prompting On Graphs☆378Updated 3 weeks ago
- Must-read papers on graph foundation models (GFMs)☆307Updated 3 weeks ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆208Updated 10 months ago
- [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"☆127Updated 4 months ago
- Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).☆638Updated 3 months ago
- Papers about large graph models.☆278Updated last year
- [KDD'2024] "LLM4Graph: A Survey of Large Language Models for Graphs"☆307Updated last month
- ☆171Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆286Updated last month
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆224Updated 10 months ago
- Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"☆1,402Updated 8 months ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆152Updated 5 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆193Updated 3 months ago
- The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"☆238Updated 8 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆185Updated this week
- Papers about out-of-distribution generalization on graphs.☆167Updated last year
- A multi-backend graph learning library.☆238Updated this week
- Accompanied repositories for our paper Graph foundation model☆197Updated 5 months ago
- A Survey of Learning from Graphs with Heterophily☆130Updated last month
- GraphMAE: Self-Supervised Masked Graph Autoencoders in KDD'22☆508Updated 2 years ago
- A python library for social event detection☆569Updated 3 weeks ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- A curated collection of research papers exploring the utilization of LLMs for graph-related tasks.☆584Updated 3 weeks ago
- A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.☆258Updated 2 months ago
- A list of recent papers about Link Prediction.☆78Updated 3 weeks ago
- [EMNLP'2024] "OpenGraph: Towards Open Graph Foundation Models"☆313Updated 6 months ago
- Awesome Few-Shot Learning on Graphs☆14Updated 6 months ago
- GraphLLM: Boosting Graph Reasoning Ability of Large Language Model☆106Updated last year
- Bag of Tricks for Graph Neural Networks.☆293Updated 8 months ago
- 斯坦福 CS224W(2023 Winter)的中文笔记、作业与Colab | Chinese notes, homwork and colabs of Stanford CS224W (2023 Winter)☆38Updated 2 years ago