Emory-Melody / awesome-graph-reductionLinks
[IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.
☆176Updated last week
Alternatives and similar repositories for awesome-graph-reduction
Users that are interested in awesome-graph-reduction are comparing it to the libraries listed below
Sorting:
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆121Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Updated last year
- Open-source Library PyGDebias: Graph Datasets and Fairness-Aware Graph Mining Algorithms☆65Updated last year
- ☆187Updated last year
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆92Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- ☆60Updated last year
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Updated last year
- Accompanied repositories for our paper Graph foundation model☆232Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆212Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆60Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆243Updated last year
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆95Updated 8 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆123Updated 3 years ago
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆72Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆47Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆135Updated last year
- A Survey of Learning from Graphs with Heterophily☆157Updated 11 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆101Updated last year
- ☆91Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- A collection of graph foundation models including papers, codes, and datasets.☆160Updated 7 months ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆40Updated 9 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆46Updated last year