Topic: "graph-foundation-model"
THUMNLab/awesome-large-graph-model
Papers about large graph models.
Size: 102 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 278 - Forks: 17

CurryTang/Awesome_Graph_Foundation_Models
Accompanied repositories for our paper Graph foundation model
Size: 203 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 118 - Forks: 10

Zehong-Wang/GFT
GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.
Language: Python - Size: 66.3 MB - Last synced at: 14 days ago - Pushed at: 26 days ago - Stars: 46 - Forks: 10

Zhuofeng-Li/TEG-Benchmark
[NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs
Language: Python - Size: 1010 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 30 - Forks: 2

Newiz430/Pretext
Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"
Size: 1.01 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 28 - Forks: 5

ZhuYun97/GraphCLIP
Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs
Language: Python - Size: 60.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 27 - Forks: 2

Zehong-Wang/Awesome-Foundation-Models-on-Graphs
A collection of graph foundation models including papers, codes, and datasets.
Size: 3.61 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 17 - Forks: 4

Lintianqianjin/LangGFM
A Large Language Model Alone Can be a Powerful Graph Foundation Model
Language: Python - Size: 74.1 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 7 - Forks: 0

NSLab-CUK/S-CGIB
Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular property prediction and developed by NS Lab, CUK based on pure PyTorch backend.
Language: Python - Size: 4.17 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 2

Jeffrey-Sardina/TWIG-I
Cross-graph transfer learning for link prediction based on Structural Alignment
Language: Python - Size: 11.5 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 3 - Forks: 1
