iDC-NEU / NeutronStreamLinks
☆11Updated 2 years ago
Alternatives and similar repositories for NeutronStream
Users that are interested in NeutronStream are comparing it to the libraries listed below
Sorting:
- ☆214Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 4 months ago
- Distributed Deep Graph Learning Framework for Dynamic Graphs☆18Updated last year
- A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.☆141Updated last month
- ☆138Updated 2 years ago
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆156Updated last year
- A list of awesome GNN systems.☆332Updated last week
- ☆13Updated 4 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆269Updated 2 years ago
- ☆46Updated 3 years ago
- ☆138Updated last year
- BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks☆22Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆61Updated 2 years ago
- ☆21Updated 3 years ago
- Source codes of "Fast Continuous Subgraph Matching over Streaming Graphs via Backtracking Reduction", SIGMOD 2023☆14Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- ☆103Updated 2 years ago
- Source Code for KDD 2020 paper "Neural Subgraph Isomorphism Counting"☆54Updated last year
- ☆12Updated last year
- Graph Partitoning Using Graph Convolutional Networks☆66Updated 3 years ago
- The official SALIENT system described in the paper "Accelerating Training and Inference of Graph Neural Networks with Fast Sampling and P…☆40Updated 2 years ago
- Temporal Graph Benchmark project repo☆236Updated 3 weeks ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- ☆75Updated 3 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- Code for the KDD 2021 paper "Scaling Up Graph Neural Networks Via Graph Coarsening"☆28Updated last year
- PyTorch Library for Low-Latency, High-Throughput Graph Learning on GPUs.☆301Updated 2 years ago
- Dynamic Graph Benchmark☆83Updated 2 years ago
- ☆35Updated 4 months ago
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆80Updated 5 months ago