Persdre / EX-GraphLinks
[ICLR 2024] EX-Graph: A Pioneering Dataset Bridging Ethereum and X https://openreview.net/pdf?id=juE0rWGCJW
☆23Updated last year
Alternatives and similar repositories for EX-Graph
Users that are interested in EX-Graph are comparing it to the libraries listed below
Sorting:
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆72Updated last year
- ☆183Updated last year
- ☆19Updated 2 years ago
- [CIKM 2023] Towards Fair Graph Neural Networks via Graph Counterfactual.☆14Updated 10 months ago
- ☆18Updated 3 years ago
- ☆186Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆91Updated 2 years ago
- A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).☆46Updated 2 years ago
- [ICML2024] "LLaGA: Large Language and Graph Assistant", Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang☆147Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆241Updated 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
- Official codebase for paper Disentangled Condensation for Graphs (DisCo). This codebase is based on the open-source Pytorch Geometric fra…☆11Updated 11 months ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- Paper List for Fair Graph Learning (FairGL).☆144Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆65Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- Awesome Graph Condensation Papers, [TKDE 25] Graph Condensation: A Survey.☆50Updated 6 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆176Updated this week
- ☆24Updated last year
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆318Updated 10 months ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- ☆133Updated 9 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆258Updated 9 months ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆121Updated 2 years ago
- ☆10Updated last year
- ☆25Updated 3 years ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆20Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- source code of KDD 2022 paper "Reliable Representations Make A Stronger Defender: Unsupervised Structure Refinement for Robust GNN".☆28Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆64Updated 2 years ago