manhtuando97 / two-stage-gnn
☆11Updated 2 years ago
Related projects ⓘ
Alternatives and complementary repositories for two-stage-gnn
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆29Updated last year
- The code of paper "Block Modeling-Guided Graph Convolutional Neural Networks".☆31Updated 2 years ago
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆12Updated last year
- Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network☆28Updated 2 years ago
- ☆17Updated 11 months ago
- Code for GBK-GNN (paper accepted by WWW2022)☆15Updated 2 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆13Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆33Updated last year
- ☆37Updated 2 years ago
- ☆17Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆86Updated 3 years ago
- ☆17Updated 2 years ago
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Updated 2 years ago
- ☆38Updated last year
- ☆12Updated 8 months ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆10Updated last year
- SDG: A Simplified and Dynamic Graph Neural Network, SIGIR 2021☆22Updated 2 years ago
- ☆45Updated last year
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆31Updated 2 years ago
- Graph Transformers for Large Graphs☆20Updated 6 months ago
- DGL implementation of GRAND(Graph Random Neural Network, NeurIPS 2020)☆18Updated 3 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆39Updated 2 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Updated 3 years ago
- Wiener Graph Deconvolutional Network Improves Self-Supervised Learning in AAAI 2023☆17Updated 7 months ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆20Updated last year
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- [NeurIPS 2022] "Augmentations in Hypergraph Contrastive Learning: Fabricated and Generative" by Tianxin Wei, Yuning You, Tianlong Chen, Y…☆50Updated 2 years ago
- Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"☆17Updated last year
- ☆18Updated last year
- [CIKM 2021] A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning".☆45Updated 3 years ago