Frostland12138 / Awesome-Graph-ScalingLinks
☆20Updated 3 months ago
Alternatives and similar repositories for Awesome-Graph-Scaling
Users that are interested in Awesome-Graph-Scaling are comparing it to the libraries listed below
Sorting:
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 years ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆44Updated 2 weeks ago
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 2 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆91Updated last month
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆15Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆52Updated 2 years ago
- Awesome literature on imbalanced learning on graphs☆75Updated 10 months ago
- ☆10Updated 8 months ago
- A collection of papers on Graph Structural Learning (GSL)☆54Updated last year
- [WWW'22] Towards Unsupervised Deep Graph Structure Learning☆142Updated 2 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- NeurIPS 2022 - SHGP☆31Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆55Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆144Updated 4 months ago
- ☆33Updated 7 months ago
- Deep Graph Outlier Detection☆67Updated last year
- ☆58Updated 8 months ago
- An official PyTorch implementation of "Towards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels" (WSDM 2022))☆33Updated 3 years ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 5 months ago
- ☆28Updated 4 years ago
- Code for The Web Conference 2022 Paper "Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding"☆17Updated 3 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆42Updated 2 years ago
- A curated list of papers on graph structure learning (GSL).☆49Updated 6 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆118Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆44Updated 6 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆159Updated 2 weeks ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆84Updated 7 months ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆36Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆35Updated 8 months ago