superallen13 / GCondenserLinks
☆13Updated 6 months ago
Alternatives and similar repositories for GCondenser
Users that are interested in GCondenser are comparing it to the libraries listed below
Sorting:
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆48Updated last year
- Benchmark☆109Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆122Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- Awesome Graph Condensation Papers, TKDE'25 paper: Graph Condensation: A Survey.☆49Updated 6 months ago
- Tail-GNN: Tail-Node Graph Neural Networks☆34Updated 4 years ago
- ☆20Updated 9 months ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- ☆10Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆38Updated 8 months ago
- Pytorch implementation of EvenNet.☆20Updated 3 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- A curated list of papers on graph structure learning (GSL).☆51Updated last year
- The official implementation of the paper "Ordered GNN: Ordering Message Passing to Deal with Heterophily and Over-smoothing" (ICLR 2023).☆47Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Updated 3 years ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆87Updated last year
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Updated 2 years ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- ☆27Updated 3 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
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆168Updated 2 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆174Updated 2 months ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆15Updated last year
- Source code for NeurIPS 2022 paper "Uncovering the Structural Fairness in Graph Contrastive Learning"☆29Updated 3 years ago
- ☆59Updated last year
- A curated list of Heterophilous Graph Self-Supervised Learning papers.☆15Updated 2 years ago
- ☆29Updated 4 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆91Updated 2 years ago