kswoo97 / hypeboyLinks
Published as a conference paper at ICLR 2024
☆26Updated last year
Alternatives and similar repositories for hypeboy
Users that are interested in hypeboy are comparing it to the libraries listed below
Sorting:
- I'm Me, We're Us, and I'm Us: Tri-directional Contrastive Learning on Hypergraphs (AAAI'23)☆38Updated last year
- KDD23 - Classification of Edge-Dependent Labels of Nodes in Hypergraphs☆18Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆61Updated 3 years ago
- Published as a journal paper at DAMI 2023☆16Updated 9 months ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆49Updated last year
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆33Updated 2 years ago
- The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"☆21Updated 11 months ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated 2 years ago
- the code of MoG☆19Updated last year
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆26Updated 3 years ago
- The official source code for "Task-Equivariant Graph Few-shot Learning (TEG)" at KDD 2023.☆24Updated last year
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Updated last year
- [CIKM 2023] Code for the paper "LTE4G: Long-Tail Experts for Graph Neural Networks"☆40Updated 3 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Updated 2 years ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆33Updated last year
- WWW22 - MiDaS: Representative Hypergraph Sampling☆13Updated last year
- The official source code for Self-Guided Robust Graph Structure Refinement (SG-GSR) at WWW 2024 Research Track.☆17Updated last year
- Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"☆40Updated 2 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
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Updated 2 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆40Updated 2 years ago
- The official source code for HyGCL-AdT that is published to WWW 24.☆12Updated last year
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 2 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆16Updated 3 years ago
- An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)☆19Updated last year
- Pytorch Implmentation of Meta Attack via Contrastive Surrogate Objective☆11Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆102Updated last year
- ☆33Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆56Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆44Updated 2 years ago