superallen13 / GCondenserLinks
☆14Updated 4 months ago
Alternatives and similar repositories for GCondenser
Users that are interested in GCondenser are comparing it to the libraries listed below
Sorting:
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆46Updated 4 months ago
 - Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated 2 years ago
 - ☆20Updated 6 months ago
 - Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆36Updated 5 months ago
 - [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
 - A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆120Updated 2 years ago
 - ☆10Updated 11 months ago
 - NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
 - The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆34Updated last year
 - Pytorch implementation of EvenNet.☆20Updated 3 years ago
 - NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
 - GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆32Updated last year
 - Benchmark☆105Updated last year
 - ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆45Updated 3 years ago
 - Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year
 - [Neurips 2024] Disentangled Graph Homophily☆26Updated 9 months ago
 - This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆16Updated 2 years ago
 - The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆46Updated last year
 - Code for SGDD☆26Updated 2 years ago
 - Tail-GNN: Tail-Node Graph Neural Networks☆35Updated 4 years ago
 - A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
 - The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆35Updated 2 years ago
 - The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated 2 years ago
 - [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆167Updated last week
 - ☆27Updated 3 years ago
 - Implementation codes for NeurIPS23 paper "Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts"☆12Updated last year
 - Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆32Updated 2 years ago
 - ☆58Updated last year
 - ☆29Updated 4 years ago
 - A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆92Updated 5 months ago