Frostland12138 / Awesome-Graph-ScalingLinks
☆20Updated 9 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:
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆49Updated 6 months ago
- ☆13Updated 6 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- ☆10Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆122Updated 2 years ago
- A Survey of Learning from Graphs with Heterophily☆155Updated 10 months ago
- This repo contians a list of paper related to graph incremental learning☆14Updated 2 years ago
- [WWW'24] Masked Graph Autoencoder with Non-discrete Bandwidths☆12Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆94Updated 7 months ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆38Updated 8 months ago
- ☆59Updated last year
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- Benchmark☆109Updated last year
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆137Updated last year
- ☆186Updated last year
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆16Updated 7 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆48Updated last year
- Code for SGDD☆26Updated 2 years ago
- [Neurips 2024] Disentangled Graph Homophily☆27Updated 11 months ago
- Awesome literature on imbalanced learning on graphs☆74Updated last year
- The source code of SpCo☆34Updated 2 years ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆29Updated 2 months ago
- PyTorch Implementation for "Eliciting Structural and Semantic Global Knowledge in Unsupervised Graph Contrastive Learning" (AAAI2023)☆25Updated 10 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆266Updated last year
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆44Updated 2 years ago
- code for "Self-supervised representation learning on dynamic graphs"☆27Updated 4 years ago
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- ☆27Updated 3 years ago