LiuChuang0059 / StructMAELinks
Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
☆14Updated last year
Alternatives and similar repositories for StructMAE
Users that are interested in StructMAE are comparing it to the libraries listed below
Sorting:
- ☆15Updated 2 years ago
- The official source code for HyGCL-AdT that is published to WWW 24.☆12Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆18Updated last year
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆18Updated 2 years ago
- The codes of Hpyergraph Transformer Nerual Networks.☆23Updated last year
- ☆35Updated 9 months ago
- Code of "Totally Dynamic Hypergraph Neural Network"☆25Updated last year
- This paper studies the problem of cross-network node classification to overcome the insufficiency of labeled data in a single network. It…☆25Updated 3 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆25Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆22Updated last year
- This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State S…☆21Updated 9 months ago
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆62Updated 3 years ago
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆27Updated last year
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆51Updated last year
- Tensor-based hypergraph neural networks☆18Updated last year
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆12Updated last year
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆29Updated last year
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆13Updated 2 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆42Updated 2 years ago
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆18Updated last year
- ☆10Updated 2 years ago
- SPGCL: Mining Spatio-Temporal Relations via Self-Paced Graph Contrastive Learning☆14Updated 2 years ago
- Open-source code for ''Graph Neural Networks with Adaptive Frequency Response Filter''.☆25Updated 3 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆31Updated 7 months ago
- [NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".☆36Updated 11 months ago
- ☆38Updated 2 years ago
- The implementation of ICASSP 2024 lecture presentation paper "Hypergraph Transformer for Semi-Supervised Classification"☆21Updated last year
- The implementation for DropMessage.☆39Updated 2 years ago