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:
- Code of "Totally Dynamic Hypergraph Neural Network"☆22Updated last year
- ☆14Updated last year
- source code of AAAI 2024 paper "Graph Invariant Learning with Subgraph Co-mixup for Out-Of-Distribution Generalization".☆17Updated last year
- StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs☆24Updated last year
- The codes of Hpyergraph Transformer Nerual Networks.☆21Updated last year
- The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"☆12Updated 2 years ago
- [CIKM2023] GiGaMA: Generalizable Graph Masked Autoencoder via Collaborative Latent Space Reconstruction☆18Updated last year
- The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS…☆21Updated 9 months ago
- Implementation of GCKM in our paper: Graph Convolutional Kernel Machine versus Graph Convolutional Networks, NeurIPS 2023.☆11Updated last year
- Official website for "Continual Learning on Graphs: Challenges, Solutions, and Opportunities"☆50Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆60Updated 2 years ago
- Code for AAAI-2024 paper: Graph Contrastive Invariant Learning from the Causal Perspective☆28Updated 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
- ☆10Updated 2 years ago
- Code for Graph-level Anomaly Detection via Hierarchical Memory Networks (HimNet)☆17Updated last year
- Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Re…☆20Updated 2 years ago
- [IJCAI'23] LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity☆17Updated 9 months ago
- The source code of LAD-GNN.☆18Updated 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
- Xiangguo Sun et al. Heterogeneous Hypergraph Embedding for Graph Classification, WSDM2021☆31Updated 2 months ago
- Graph based Knowledge Distillation: A Survey☆68Updated 2 years ago
- [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study☆16Updated 7 months ago
- The official source code for HyGCL-AdT that is published to WWW 24.☆12Updated last year
- ☆38Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- ☆35Updated 5 months ago
- Directional diffusion models☆42Updated 9 months ago
- Source code for the paper Residual Enhanced Multi-Hypergraph Neural Network (ICIP 2021).☆18Updated 4 years ago
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Updated 2 years ago
- The implementation for DropMessage.☆37Updated 2 years ago