☆24Sep 24, 2024Updated last year
Alternatives and similar repositories for MultiGPrompt
Users that are interested in MultiGPrompt are comparing it to the libraries listed below
Sorting:
- ☆19Dec 12, 2023Updated 2 years ago
- ☆20Dec 9, 2023Updated 2 years ago
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆165Oct 25, 2024Updated last year
- Awesome Few-Shot Learning on Graphs☆22Apr 27, 2025Updated 10 months ago
- Learning to Count Isomorphisms with Graph Neural Networks☆13Mar 27, 2023Updated 2 years ago
- Official implementation of paper "GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfe…☆18Jan 27, 2024Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Oct 16, 2023Updated 2 years ago
- ☆19Feb 14, 2025Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆16Jan 6, 2025Updated last year
- The source will be uploaded recently☆14Aug 3, 2020Updated 5 years ago
- A Unified Python Library for Graph Prompting☆579May 15, 2025Updated 10 months ago
- UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs (WWW'25)☆18Apr 22, 2025Updated 10 months ago
- [WWW 2022] "A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆18Feb 19, 2022Updated 4 years ago
- ☆33Mar 4, 2024Updated 2 years ago
- Awesome Papers About Performing Prompting On Graphs☆422May 15, 2025Updated 10 months ago
- The benchmark proposed in paper: GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability☆25Aug 12, 2025Updated 7 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆213Dec 31, 2024Updated last year
- ☆21Jun 13, 2023Updated 2 years ago
- The code impliments for paper "MHNF: Multi-hop Heterogeneous Neighborhood information Fusion graph representation learning.”☆11Oct 29, 2023Updated 2 years ago
- Official implementation of MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning☆19Jan 27, 2024Updated 2 years ago
- Papers about large graph models.☆290Mar 24, 2024Updated last year
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆21Jul 27, 2023Updated 2 years ago
- [SIGIR25] Intent Representation Learning with Large Language Model for Recommendation☆20Dec 2, 2025Updated 3 months ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Apr 29, 2024Updated last year
- 一个XGNN实现过程☆12Apr 20, 2021Updated 4 years ago
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆36Jan 18, 2025Updated last year
- Tail-GNN: Tail-Node Graph Neural Networks☆34Sep 5, 2021Updated 4 years ago
- ☆13Apr 1, 2023Updated 2 years ago
- ☆11Jan 19, 2021Updated 5 years ago
- ☆12Mar 24, 2025Updated 11 months ago
- 山东大学 博士学位论文 LaTeX 模板☆16May 30, 2025Updated 9 months ago
- Benchmark☆115Apr 9, 2024Updated last year
- Implementation of meta-tail2vec published in CIKM 2020 paper "Towards Locality-Aware Meta-Learning of Tail Node Embeddings on Networks".☆13Dec 10, 2020Updated 5 years ago
- source for paper DGNN-DDI☆11Oct 8, 2023Updated 2 years ago
- ☆10Nov 3, 2023Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆248May 18, 2024Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆124Feb 29, 2024Updated 2 years ago
- Implementation of GraphPrompter (The Web Conference 2024 Short Paper)☆37Apr 9, 2024Updated last year
- Pytorch Implementation of Rethinking Graph Neural Architecture Search from Message-passing (CVPR'21)☆53May 4, 2022Updated 3 years ago