liun-online / SpCoView external linksLinks
The source code of SpCo
☆35May 17, 2023Updated 2 years ago
Alternatives and similar repositories for SpCo
Users that are interested in SpCo are comparing it to the libraries listed below
Sorting:
- This is the code of paper: Robust Mid-Pass Filtering Graph Convolutional Networks.(paper accepted by WWW2023)☆13Feb 17, 2023Updated 2 years ago
- ☆12Apr 2, 2025Updated 10 months ago
- Code for the paper "Spectrum Guided Topology Augmentation for Graph Contrastive Learning"☆11Jul 18, 2023Updated 2 years ago
- WWW2021: Interpreting and Unifying Graph Neural Networks with An Optimization Framework☆14Jun 23, 2021Updated 4 years ago
- "HomoGCL: Rethinking Homophily in Graph Contrastive Learning" in KDD'23☆14Jul 6, 2023Updated 2 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆49Jun 7, 2023Updated 2 years ago
- The official PyTorch implementation of "An Attentional Multi-scale Co-evolving Model for Dynamic Link Prediction" (TheWebConf'23)☆11May 4, 2023Updated 2 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆42Oct 6, 2023Updated 2 years ago
- ☆11May 14, 2023Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Dec 24, 2021Updated 4 years ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Nov 1, 2021Updated 4 years ago
- Official Code: TheWebConf 2022 Compact Graph Structure Learning via Mutual Information Compression☆24Mar 17, 2024Updated last year
- ☆12Sep 17, 2022Updated 3 years ago
- Official codebase for paper Disentangled Condensation for Graphs (DisCo). This codebase is based on the open-source Pytorch Geometric fra…☆11Feb 12, 2025Updated last year
- ☆14Mar 4, 2022Updated 3 years ago
- ☆29Jul 12, 2022Updated 3 years ago
- ☆12Jul 8, 2022Updated 3 years ago
- ☆14Jun 19, 2023Updated 2 years ago
- virtual node analysis on ogb benchmark dataset☆14Mar 9, 2023Updated 2 years ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆56Mar 6, 2023Updated 2 years ago
- Mixture Density Network Demo in Pytorch☆14Sep 17, 2018Updated 7 years ago
- ☆13Oct 24, 2021Updated 4 years ago
- Official implement of 'Advancing Graph Convolutional Networks via General Spectral Wavelets'☆34Jun 22, 2025Updated 7 months ago
- SIGIR 2022 Paper: Less is More: Reweighting Important Spectral Graph Features for Recommendation☆34Nov 27, 2023Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Nov 23, 2022Updated 3 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆181Apr 25, 2024Updated last year
- Code for CIKM 2021 best short paper nomination "Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation" https…☆16Jun 11, 2021Updated 4 years ago
- This is our implementation of IntEL-Intent-aware Ranking Ensemble for Personalized Recommendation (SIGIR2023)☆23Nov 17, 2023Updated 2 years ago
- How does Heterophily Impact the Robustness of Graph Neural Networks? Theoretical Connections and Practical Implications (KDD'22)☆13Jul 24, 2022Updated 3 years ago
- ☆13Mar 8, 2024Updated last year
- An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels☆15Apr 10, 2021Updated 4 years ago
- ☆36Jun 29, 2022Updated 3 years ago
- Code for GBK-GNN (paper accepted by WWW2022)☆17Jun 16, 2022Updated 3 years ago
- [ICLR 2024 Oral] Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness.☆17Jan 19, 2024Updated 2 years ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆16Mar 17, 2024Updated last year
- Codebase for KDD22 paper "Subset Node Anomaly Tracking over Large Dynamic Graphs"☆15Dec 13, 2022Updated 3 years ago
- Codes for 'From Canonical Correlation Analysis to Self-supervised Graph Neural Networks'. https://arxiv.org/abs/2106.12484☆70Nov 29, 2023Updated 2 years ago
- The source code of HeCo☆171Apr 8, 2022Updated 3 years ago