[TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"
☆23Dec 14, 2023Updated 2 years ago
Alternatives and similar repositories for LGD-GCN
Users that are interested in LGD-GCN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [WWW 2023] Code for "Graph Neural Networks with Diverse Spectral Filtering"☆22Dec 15, 2023Updated 2 years ago
- Unofficial pytorch implementation of DisenGCN☆14Jun 19, 2023Updated 3 years ago
- Source code for "Factorizable Graph Convolutional Networks", NeurIPS'20☆51Dec 24, 2020Updated 5 years ago
- A curated and categorized paper list of gnn-based complex graph learning.☆11Apr 9, 2023Updated 3 years ago
- Simple implementation of two layers of Disentangled GCN☆13Mar 24, 2021Updated 5 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 4 years ago
- Link Prediction with Signed Latent Factors in Signed Social Networks (SIGKDD 2019)☆15Oct 24, 2021Updated 5 years ago
- Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (KDD19)☆27Apr 8, 2020Updated 6 years ago
- The resources for the paper "User Modeling with Click Preference and Reading Satisfaction for News Recommendation"☆11Jan 17, 2021Updated 5 years ago
- PyTorch implementation of "Variational Autoencoders with Jointly Optimized Latent Dependency Structure" [ICLR 2019]☆13Jul 14, 2019Updated 7 years ago
- Source code of FeedRec☆13May 13, 2022Updated 4 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆60Apr 23, 2023Updated 3 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆240Jul 23, 2023Updated 3 years ago
- A Flow-based Variational Autoencoder for Molecule Generation☆10Feb 21, 2022Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆34Jun 1, 2022Updated 4 years ago
- The code of TAI'25 paper GLAC-GCN☆10Sep 29, 2026Updated last month
- Code of ACM MM 2023 Paper: A Symbolic Characters Aware Model for Solving Geometry Problems☆16Dec 27, 2023Updated 2 years ago
- Multi-Camera surveillance systems are being increasingly used to enhance safety and security and the possibility to mount cameras on Unma…☆11Jan 11, 2022Updated 4 years ago
- TensorFlow Implementation of "Action Recognition using Visual Attention"☆48Aug 16, 2017Updated 9 years ago
- Implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020) in PyTorch☆13Oct 11, 2022Updated 4 years ago
- Code Repository for Matrix Computations(4th Edition) by G.H. Golub and C.F. Van Loan☆14Jun 5, 2019Updated 7 years ago
- ☆10Apr 11, 2022Updated 4 years ago
- ☆15Jun 13, 2025Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆10Jul 23, 2020Updated 6 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆16Feb 24, 2022Updated 4 years ago
- Implementation for paper "Link Prediction on Heterophilic Graphs via Disentangled Representation Learning"☆13Aug 26, 2022Updated 4 years ago
- ☆11Oct 31, 2021Updated 5 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 3 years ago
- Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.☆15Jan 15, 2023Updated 3 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆44Mar 2, 2023Updated 3 years ago
- Fairrec: fairness-aware news recommendation with decomposed adversarial learning☆15Jul 7, 2021Updated 5 years ago
- Code for NCAA paper "Multi-level Disentanglement Graph Neural Network"☆12Dec 16, 2022Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Sep 3, 2026Updated last month
- NeurIPS2022-Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure☆47Nov 13, 2023Updated 2 years ago
- This is the code for the Paper: Transition Information Enhanced Disentangled Graph Neural Networks for Session-based Recommendation☆14Apr 6, 2022Updated 4 years ago
- Official Implementation of KDD 2023 paper: "Pyramid Graph Neural Network: A Graph Sampling and Filtering Approach for Multi-scale Disenta…☆11Aug 6, 2023Updated 3 years ago
- Multidimensional Uncertainty-Aware Evidential Neural Networks ( AAAI2021)☆16Aug 19, 2021Updated 5 years ago
- 2020湖南省第一届人工智能大赛参赛作品☆11Feb 17, 2022Updated 4 years ago
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14May 2, 2020Updated 6 years ago