LiuChuang0059 / StructMAELinks
Code for IJCAI'24 paper: Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders
☆11Updated last year
Alternatives and similar repositories for StructMAE
Users that are interested in StructMAE are comparing it to the libraries listed below
Sorting:
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆18Updated last year
- Code of "Totally Dynamic Hypergraph Neural Network"☆23Updated last year
- ☆14Updated last year
- Code for AAAI 2023 (Oral) paper "Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effe…☆26Updated last year
- GOODAT: Towards Test-time Graph Out-of-Distribution Detection☆11Updated 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
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆23Updated 2 years ago
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆30Updated last month
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆21Updated 9 months ago
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆17Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆26Updated last year
- The official source code for HyGCL-AdT that is published to WWW 24.☆12Updated last year
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 9 months ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- The implementation for DropMessage.☆37Updated 2 years ago
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆50Updated last year
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆13Updated 2 years ago
- UniG-Encoder: A Universal Feature Encoder for Graph and Hypergraph Node Classification.☆12Updated 3 weeks ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆41Updated last year
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Updated 2 years ago
- ☆10Updated 2 years ago
- ☆38Updated 2 years ago
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆24Updated last year
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Papers about hypergraph, their applications, and even similar ideas.☆19Updated 3 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆61Updated 9 months ago