[TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"
☆22Dec 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
- 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
- Unofficial pytorch implementation of DisenGCN☆14Jun 19, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Papers about developing DL methods on disassortative graphs☆48Jul 1, 2022Updated 3 years ago
- Link Prediction with Signed Latent Factors in Signed Social Networks (SIGKDD 2019)☆15Oct 24, 2021Updated 4 years ago
- Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (KDD19)☆27Apr 8, 2020Updated 6 years ago
- Mitigating the Filter Bubble while Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems☆10Mar 15, 2023Updated 3 years ago
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆60Apr 23, 2023Updated 2 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆239Jul 23, 2023Updated 2 years ago
- [NeurIPS'23] Towards Self-Interpretable Graph-Level Anomaly Detection☆31Jul 18, 2024Updated last year
- ☆12Mar 30, 2021Updated 5 years ago
- A Flow-based Variational Autoencoder for Molecule Generation☆10Feb 21, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆33Jun 1, 2022Updated 3 years ago
- ☆15Jun 13, 2025Updated 10 months ago
- [Arxiv 2025] Official code and datasets of paper: GNNs as Predictors of Agentic Workflow Performances☆19Jan 15, 2026Updated 2 months ago
- TensorFlow Implementation of "Action Recognition using Visual Attention"☆48Aug 16, 2017Updated 8 years ago
- Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.☆15Jan 15, 2023Updated 3 years ago
- Context2Bundle: Diversified Personalized Bundle Recommendation☆12Feb 22, 2018Updated 8 years ago
- Implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020) in PyTorch☆13Oct 11, 2022Updated 3 years ago
- PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"☆44Oct 6, 2023Updated 2 years ago
- ☆11Apr 5, 2022Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code Repository for Matrix Computations(4th Edition) by G.H. Golub and C.F. Van Loan☆13Jun 5, 2019Updated 6 years ago
- Implementation for paper "Link Prediction on Heterophilic Graphs via Disentangled Representation Learning"☆13Aug 26, 2022Updated 3 years ago
- Official Code for ''PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection'', Accepted by CVPR2025!☆22Mar 27, 2025Updated last year
- GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)☆16Mar 8, 2023Updated 3 years ago
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆14Feb 8, 2025Updated last year
- ☆10Apr 11, 2022Updated 4 years ago
- ☆11Jun 6, 2023Updated 2 years ago
- The dataset for paper "Why Do We Click: Visual Impression-aware News Recommendation", ACM MM 2021☆15Feb 24, 2022Updated 4 years ago
- ☆14Oct 21, 2020Updated 5 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- [NeurIPS 2023] "Combating Bilateral Edge Noise for Robust Link Prediction"☆11Nov 3, 2023Updated 2 years ago
- ☆11Oct 31, 2021Updated 4 years ago
- A Pytorch implementation of Semi-implicit-graph-variational-auto-encoders☆14May 2, 2020Updated 5 years ago
- A python implementation of discrete optimal transport with a Tsallis entropy regularization.☆14Oct 23, 2023Updated 2 years ago
- AM-GCN: Adaptive Multi-channel Graph Convolutional Networks☆255Aug 25, 2020Updated 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
- k-hop Graph Neural Networks☆19Jul 17, 2020Updated 5 years ago