The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
☆58Dec 28, 2025Updated 9 months ago
Alternatives and similar repositories for PDN
Users that are interested in PDN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Official Code Repository for the paper "Graph Ordering Attention Networks"☆23Dec 18, 2023Updated 2 years ago
- ☆19Apr 17, 2022Updated 4 years ago
- Ongoing project: a library for graph foundation model☆13Feb 7, 2024Updated 2 years ago
- Spectral Graph Attention Network with Fast Eigen-approximation☆11Dec 24, 2021Updated 4 years ago
- ☆11Feb 13, 2023Updated 3 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 for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 6 years ago
- PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN☆20Mar 31, 2022Updated 4 years ago
- News classification & recommendation in Keras☆13Jun 15, 2020Updated 6 years ago
- A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).☆84Mar 18, 2023Updated 3 years ago
- An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".☆20Aug 14, 2022Updated 4 years ago
- 基于python3训练中文wiki词向量、字向量、拼音向量☆11Jan 2, 2022Updated 4 years ago
- An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)☆132Nov 6, 2022Updated 3 years ago
- a general information propagation algorithm for graph learning☆13Jun 15, 2021Updated 5 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 5 years ago
- 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.
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆48Mar 6, 2020Updated 6 years ago
- Code for the paper "Learning Step-Size Adaptation in CMA-ES"☆13Mar 24, 2023Updated 3 years ago
- Play Wordle in the CLI. Write an algorithm to play Wordle for you. Ruin all of the fun you've been having.☆12Jun 26, 2024Updated 2 years ago
- GraphGallery is a gallery for benchmarking Graph Neural Networks☆475Aug 14, 2023Updated 3 years ago
- Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…☆15Apr 26, 2023Updated 3 years ago
- Official Implementation of Half-Hop☆20Oct 10, 2023Updated 2 years ago
- Edge-Augmented Graph Transformer☆81Feb 16, 2024Updated 2 years ago
- Tutorial for Clustering mixed data types☆10Jan 25, 2021Updated 5 years ago
- A research library for automating experiments on Deep Graph Networks☆221Dec 16, 2025Updated 9 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.
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Mar 18, 2023Updated 3 years ago
- Rank-To-Group score evaluates contribution of confounding factors☆22Nov 3, 2021Updated 4 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- ☆13Sep 8, 2021Updated 5 years ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆14Mar 7, 2021Updated 5 years ago
- Transformers are Graph Neural Networks!☆55Dec 27, 2020Updated 5 years ago
- ☆13Nov 29, 2021Updated 4 years ago
- Sandbox to analysis and benchmarking Graph Transformer Neural Networks☆39Feb 4, 2023Updated 3 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆80Dec 7, 2021Updated 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.
- [EMNLP 2021] Dataset and PyTorch Code for ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning☆14Nov 5, 2022Updated 3 years ago
- Official Implementation of "GRPE: Relative Positional Encoding for Graph Transformer"☆64Aug 16, 2022Updated 4 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆128Apr 5, 2022Updated 4 years ago
- AISTATS 2019: Confidence-based Graph Convolutional Networks for Semi-Supervised Learning☆58May 22, 2019Updated 7 years ago
- Learning from graph data using Keras☆64May 9, 2019Updated 7 years ago
- Extraction, versioning and machine-readable provisioning of public data.☆12Updated this week
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆41Apr 1, 2022Updated 4 years ago