RiemannGraph / RiemannGFMLinks
☆20Updated last year
Alternatives and similar repositories for RiemannGFM
Users that are interested in RiemannGFM are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2024 🔥] TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs☆48Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆241Updated last year
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆91Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆147Updated last year
- A collection of graph foundation models including papers, codes, and datasets.☆158Updated 6 months ago
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆65Updated 11 months ago
- ☆186Updated last year
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆66Updated 7 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆46Updated last year
- ☆26Updated last year
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆36Updated 11 months ago
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆72Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆46Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆46Updated last year
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆66Updated last year
- GFT: Graph Foundation Model with Transferable Tree Vocabulary, NeurIPS 2024.☆58Updated 8 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated 2 years ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆37Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning☆19Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆29Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Updated this week
- ☆11Updated 10 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆37Updated 2 years ago