Emory-Melody / GraphSlimLinks
A Python library for graph reduction including condensation, coarsening, and sparsification.
☆24Updated 5 months ago
Alternatives and similar repositories for GraphSlim
Users that are interested in GraphSlim are comparing it to the libraries listed below
Sorting:
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆63Updated last year
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆165Updated last month
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- The repository of "Addressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark" (KDD'24)☆12Updated 11 months ago
- ☆59Updated 10 months ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- ☆26Updated 3 years ago
- ☆38Updated 3 years ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆24Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆33Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆85Updated 9 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated last year
- Codebase used to generate the results for NeurIPS23 "Adversarial Training for Graph Neural Networks: Pitfalls, Solutions, and New Directi…☆11Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆44Updated 3 years ago
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago
- ☆30Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆84Updated last year
- ☆10Updated 10 months ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 8 months ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆19Updated last year
- [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction☆49Updated 9 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- Code for "Graph Contrastive Learning with Cohesive Subgraph Awareness"☆16Updated last year
- Awesome literature on imbalanced learning on graphs☆74Updated last year