☆62Oct 24, 2020Updated 5 years ago
Alternatives and similar repositories for Rethinking-pooling-in-GNNs
Users that are interested in Rethinking-pooling-in-GNNs are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆20Feb 7, 2023Updated 3 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆61Jun 2, 2022Updated 4 years ago
- IJCAI‘23 Survey Track: Papers on Graph Pooling (GNN-Pooling)☆115Mar 28, 2025Updated last year
- ☆21Jun 15, 2021Updated 5 years ago
- The Web Conference 2020: Structure-Feature based Graph Self-adaptive Pooling☆30Apr 21, 2020Updated 6 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.
- Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)☆24Nov 2, 2022Updated 3 years ago
- SATZilla SAT feature extraction tool☆15Mar 23, 2026Updated 4 months ago
- Crawl traffic data from PEMS☆10Jul 19, 2021Updated 5 years ago
- [AAAI'22] Event-Aware Multimodal Mobility Nowcasting☆14Sep 12, 2022Updated 3 years ago
- ☆16Apr 11, 2020Updated 6 years ago
- Random Walk Graph Neural Networks☆56Feb 21, 2021Updated 5 years ago
- Hierarchical Graph Pooling with Structure Learning☆345Jul 12, 2021Updated 5 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆56Apr 27, 2020Updated 6 years ago
- ☆12Jan 29, 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.
- Official repository for the paper "Graph-based Forecasting with Missing Data through Spatiotemporal Downsampling" (ICML 2024)☆16Mar 3, 2025Updated last year
- Code for "Graph Structure Learning with Variational Information Bottleneck" published in AAAI 2022☆39May 6, 2022Updated 4 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Feb 27, 2021Updated 5 years ago
- Extending the Neural Graph Algorithm Executor☆13Dec 8, 2022Updated 3 years ago
- ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters☆16Jan 14, 2021Updated 5 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆41Oct 13, 2022Updated 3 years ago
- Multi-sensor traffic flow forecasting.☆14Jul 23, 2022Updated 4 years ago
- ☆367Jun 25, 2024Updated 2 years ago
- Deep Supervised Graph Partitioning Model☆14Aug 3, 2021Updated 4 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Jun 26, 2022Updated 4 years ago
- A study of performance of optimal transport.☆10Jul 4, 2020Updated 6 years ago
- ☆50Nov 25, 2021Updated 4 years ago
- [KDD'22] Partial Label Learning with Discrimination Augmentation☆10May 21, 2024Updated 2 years ago
- Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.☆20Mar 15, 2025Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators presented as presented at NeurIPS 2023☆35Nov 8, 2023Updated 2 years ago
- The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".☆22Jun 3, 2021Updated 5 years ago
- ☆14Sep 4, 2020Updated 5 years ago
- Contributed and additional nodes for maize☆23Feb 18, 2026Updated 5 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Reproduces the results of MinCutPool as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Poolin…☆278Mar 15, 2025Updated last year
- ☆32Sep 22, 2021Updated 4 years ago
- Official PyTorch Implementation of SAGPool - ICML 2019☆372Nov 10, 2023Updated 2 years ago
- ☆510Jan 13, 2021Updated 5 years ago
- Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.☆51Mar 15, 2025Updated last year
- ☆11May 27, 2021Updated 5 years ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆11May 16, 2023Updated 3 years ago