Xtra-Computing / GCPALinks
Adapting Precomputed Features for Efficient Graph Condensation (ICML 2025)
☆47Updated 4 months ago
Alternatives and similar repositories for GCPA
Users that are interested in GCPA are comparing it to the libraries listed below
Sorting:
- RGL - RAG-on-Graphs Library☆111Updated 7 months ago
- Source code and dataset of the paper "Efficient Heterogeneous Graph Learning via Random Projection"☆97Updated last year
- Source code (PyTorch) and dataset of the paper "MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering"☆36Updated 6 months ago
- Source code and dataset of the paper "Modality-Independent Graph Neural Networks with Global Transformers for Multimodal Recommendation",…☆46Updated 6 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆45Updated last year
- ☆33Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆87Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year
- Official implementation of GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs☆57Updated 8 months ago
- [ICLR 2023 Oral] Towards Open Temporal Graph Neural Networks☆34Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated 2 years ago
- Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"☆24Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆137Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆67Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆64Updated 2 years ago
- NeurIPS 2024 "NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise"☆30Updated 5 months ago
- ☆82Updated last year
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Updated 2 years ago
- [NeurIPS'24] ARC: A Generalist Graph Anomaly Detector with In-Context Learning☆28Updated last year
- ☆59Updated last year
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆94Updated 3 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆34Updated last year
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆19Updated last year
- Code for AAAI'24 paper "Rethinking Graph Masked Autoencoders through Alignment and Uniformity”.☆14Updated last year
- ☆16Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- ☆181Updated 10 months ago
- Official implementation of paper "Efficient Tuning and Inference for Large Language Models on Textual Graphs"☆36Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆121Updated last year