Paper list on GNNs + Differential Equations (ODE, PDE, SDE)
☆64Feb 26, 2026Updated 4 months ago
Alternatives and similar repositories for Awesome-Graph-Neural-Differential-Equations
Users that are interested in Awesome-Graph-Neural-Differential-Equations 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 Python Library for Machine Learning in Epidemic Data Modeling and Analysis☆71Sep 4, 2025Updated 10 months ago
- [KDD 2024] Papers about deep learning in epidemic modeling.☆70Oct 3, 2024Updated last year
- Pytorch implementation of ICML-2024 "Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching"☆26Jun 23, 2024Updated 2 years ago
- Python implementation of PCA on graph ECTD☆12May 29, 2024Updated 2 years ago
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆18Sep 26, 2024Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Pytorch implementation of gnn meta attack (mettack). Paper title: Adversarial Attacks on Graph Neural Networks via Meta Learning.☆21Mar 23, 2021Updated 5 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Code for ICLR'2021 paper: On Dyadic Fairness: Exploring and Mitigating Bias in Graph Connections☆12Jul 17, 2021Updated 4 years ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆189Feb 25, 2026Updated 4 months ago
- [ACL 2024 Findings] This is the code for our paper "Knowledge-Infused Prompting: Assessing and Advancing Clinical Text Data Generation wi…☆42Jun 23, 2024Updated 2 years ago
- KDD2024: "Predicting Long-term Dynamics of Complex Networks via Identifying Skeleton in Hyperbolic Space"☆25Apr 9, 2025Updated last year
- [KDD 2022] Implementation of "Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective"☆45Jan 6, 2024Updated 2 years ago
- ☆15Updated this week
- DP-GNN design that ensures both model weights and inference procedure differentially private (NeurIPS 2023)☆11Oct 14, 2023Updated 2 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Official FluxGNN code for ICML2024☆30Feb 27, 2025Updated last year
- ChatTS-Training based on LLaMA-Factory☆41Mar 24, 2026Updated 3 months ago
- Implementations for CHIL 2023 paper ''PTGB: Pre-Train Graph Neural Networks for Brain Network Analysis'' and KDD 2022 paper ''Data-Effici…☆20Sep 25, 2023Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆28Aug 23, 2022Updated 3 years ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆67Jun 23, 2023Updated 3 years ago
- Code for SGDD☆26Oct 19, 2023Updated 2 years ago
- [NeurIPS 2025] A Python library for graph reduction including condensation, coarsening, and sparsification.☆32May 7, 2026Updated 2 months ago
- ☆17Aug 4, 2018Updated 7 years ago
- [ICLR'22][KDD'22][IJCAI'24][NeurIPS'25] Implementation of "Graph Condensation for Graph Neural Networks"☆144Oct 10, 2025Updated 8 months 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.
- This is the official implementation of physics-informed neural networks for functional differential equations (Functional PINN) proposed …☆12Apr 9, 2025Updated last year
- ☆22Oct 14, 2022Updated 3 years ago
- ☆17Mar 6, 2024Updated 2 years ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- ☆21Jun 15, 2021Updated 5 years ago
- Convert RAW Quickdraw datafiles into stroke-based .npz format with RDP at variable epsilon for sketch-rnn☆19May 4, 2020Updated 6 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Nov 29, 2021Updated 4 years ago
- Topological Recurrent Neural Network for Diffusion Prediction☆19Nov 29, 2017Updated 8 years ago
- A new framework, collaborative cascade prediction based on graph neural networks (CCasGNN) to jointly utilize the structural characterist…☆10Dec 8, 2021Updated 4 years ago
- 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.
- Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"☆60Mar 11, 2021Updated 5 years ago
- ☆11Apr 14, 2022Updated 4 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Jan 30, 2024Updated 2 years ago
- (BESIDE) ``Bridge” Enhanced Signed Directed Network Embedding☆11Dec 22, 2018Updated 7 years ago
- Research sources on graph-based anomaly detection☆13Nov 29, 2022Updated 3 years ago
- This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495☆39Jun 21, 2023Updated 3 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆32Oct 15, 2023Updated 2 years ago