pyyush / GraphMLLinks
PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"
☆14Updated 2 years ago
Alternatives and similar repositories for GraphML
Users that are interested in GraphML are comparing it to the libraries listed below
Sorting:
- Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.☆26Updated last year
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆17Updated 4 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated last year
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆36Updated 3 years ago
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 4 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated last year
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…☆12Updated last year
- An end-to-end GCN inference accelerator written in HLS☆18Updated 3 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆41Updated last year
- A reading list for deep graph learning acceleration.☆249Updated last month
- ☆10Updated 2 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆20Updated 3 years ago
- ☆10Updated last year
- ☆36Updated 3 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- ICLR 2021☆48Updated 4 years ago
- ☆16Updated 2 years ago
- Implementation of FusedMM method for IPDPS 2021 paper titled "FusedMM: A Unified SDDMM-SpMM Kernel for Graph Embedding and Graph Neural N…☆31Updated 3 years ago
- ☆46Updated 4 months ago
- Artifact of the MLSys25' paper "GRAPH LEARNING AT SCALE: CHARACTERIZING AND OPTIMIZING PRE-PROPAGATION GNNS"☆14Updated 4 months ago
- [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)☆41Updated 4 years ago
- A Dataflow library for graph analytics acceleration☆14Updated 9 years ago
- QuickEst repository: Quick Estimation of Quality of Results☆26Updated 6 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- [ICLR 2022] "PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication" by Cheng Wan, Y…☆33Updated 2 years ago
- High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing