yuziGuo / FarOptBasis
☆12Updated last year
Related projects ⓘ
Alternatives and complementary repositories for FarOptBasis
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆33Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆28Updated last week
- Pytorch implementation of EvenNet.☆19Updated 2 years ago
- ☆44Updated last month
- Benchmark☆80Updated 7 months ago
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆24Updated 2 weeks ago
- [ICML 2023] Structural Re-weighting Improves Graph Domain Adaptation (StruRW)☆21Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆24Updated 5 months ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆50Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆99Updated last year
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆119Updated 2 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated 8 months ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification☆91Updated 8 months ago
- ☆15Updated last year
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆36Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- ☆18Updated last year
- The official implement of NeurIPS'24 Datasets and Benchmarks Track paper: GLBench: A Comprehensive Benchmark for Graphs with Large Langua…☆46Updated 3 weeks ago
- An atlas of text-attributed graph datasets in the era of large graph and language model.☆28Updated last week
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆111Updated 3 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆52Updated 10 months ago
- Code for SGDD☆22Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆82Updated 8 months ago
- code for kdd feasibiiity☆9Updated last year