☆46Nov 17, 2021Updated 4 years ago
Alternatives and similar repositories for ContinuousGNN
Users that are interested in ContinuousGNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Note On Over-Smoothing for Graph Neural Network☆20Jun 29, 2020Updated 5 years ago
- Neural Graph Differential Equations (Neural GDEs)☆213Apr 15, 2021Updated 5 years ago
- Official Code of Decoupled Graph Convolution (DGC)☆16Jan 31, 2026Updated 3 months ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆15Nov 4, 2022Updated 3 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Nov 3, 2020Updated 5 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- Code for “ACE-HGNN: Adaptive Curvature ExplorationHyperbolic Graph Neural Network”☆17Mar 3, 2022Updated 4 years ago
- This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"☆14Aug 8, 2022Updated 3 years ago
- ☆11Aug 27, 2022Updated 3 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆11Jul 10, 2022Updated 3 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 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
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24☆21Apr 17, 2025Updated last year
- ☆345Jul 25, 2024Updated last year
- Codes and data for CIKM 2022 paper "RuDi: Explaining Behavior Sequence Models by Automatic Statistics Generation and Rule Distillation"☆12Aug 16, 2022Updated 3 years ago
- Adversarial Autoencoders for Recommendation Tasks☆19Aug 17, 2022Updated 3 years ago
- Codes and datasets for AAAI-2021 paper "Learning to Pre-train Graph Neural Networks"☆89Feb 27, 2021Updated 5 years ago
- Scattering GCN: overcoming oversmoothness in graph convolutional networks☆25Jun 6, 2022Updated 3 years ago
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34May 12, 2023Updated 3 years ago
- Graph Neural PDEs☆340Oct 20, 2022Updated 3 years ago
- ☆10Jun 12, 2021Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- ☆13Nov 11, 2023Updated 2 years ago
- Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"☆35Mar 14, 2022Updated 4 years ago
- ☆42Jul 3, 2022Updated 3 years ago
- ☆13Mar 8, 2024Updated 2 years ago
- ☆50Oct 28, 2023Updated 2 years ago
- Official code of "Invariant Collaborative Filtering to Popularity Distribution Shift" (2023 WWW)☆21Jul 27, 2023Updated 2 years ago
- ☆80Sep 27, 2022Updated 3 years ago
- A tree-structured neural classifier for detecting misinformation cascades☆16Feb 13, 2020Updated 6 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 6 years ago
- "Graph Neural Controlled Differential Equations for Traffic Forecasting", AAAI 2022☆170Sep 14, 2024Updated last year
- An implementation of GSKN-Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels☆15Apr 10, 2021Updated 5 years ago
- Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "☆35Apr 24, 2023Updated 3 years ago
- ☆16Feb 2, 2023Updated 3 years ago
- ☆28Jul 12, 2022Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Oct 11, 2022Updated 3 years ago