iDC-NEU / NeutronStreamLinks
☆10Updated last year
Alternatives and similar repositories for NeutronStream
Users that are interested in NeutronStream are comparing it to the libraries listed below
Sorting:
- ☆208Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆82Updated 5 months ago
- ☆45Updated 2 years ago
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Updated last year
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆13Updated last year
- ☆21Updated 3 years ago
- BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks☆20Updated last year
- ☆13Updated 4 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated last year
- ☆45Updated last month
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Updated 10 months ago
- ☆138Updated last year
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 2 years ago
- ☆35Updated this week
- The original code for SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization (VLDB 2022) and Scalable Decoupling Graph …☆13Updated last year
- ☆134Updated last year
- ☆11Updated 10 months ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆60Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆152Updated last year
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆249Updated last year
- ☆22Updated 2 years ago
- ☆100Updated last year
- FORA: Simple and Effective Approximate Single-Source Personalized Pagerank☆31Updated 4 years ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆70Updated 2 weeks ago
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆66Updated 2 weeks ago
- ☆16Updated 3 years ago
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆138Updated last month
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆125Updated last year