bywmm / Bi-GCNLinks
Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.
☆26Updated last year
Alternatives and similar repositories for Bi-GCN
Users that are interested in Bi-GCN are comparing it to the libraries listed below
Sorting:
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆38Updated 4 years ago
- PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"☆14Updated 2 years ago
- ☆11Updated 2 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time (ICLR'24)☆42Updated last year
- A reading list for deep graph learning acceleration.☆254Updated 6 months ago
- ICLR 2021☆48Updated 4 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆39Updated 3 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated 2 years ago
- [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …☆56Updated 2 years ago
- Implementation for paper "BATMANN: A Binarized-All-Through Memory-Augmented Neural Network for Efficient In-Memory Computing"☆12Updated 4 years ago
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆19Updated 4 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago
- ☆37Updated 4 years ago
- including compiler to encode DGL GNN model to instructions, runtime software to transfer data and control the accelerator, and hardware v…☆14Updated 2 years ago
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding (ICLR'20 Oral)☆114Updated 2 years ago
- [ASAP 2020; FPGA 2020] Hardware architecture to accelerate GNNs (common IP modules for minibatch training and full batch inference)☆43Updated 4 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- An end-to-end GCN inference accelerator written in HLS☆18Updated 3 years ago
- FracBNN: Accurate and FPGA-Efficient Binary Neural Networks with Fractional Activations☆97Updated 4 years ago
- QuickEst repository: Quick Estimation of Quality of Results☆26Updated 7 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆68Updated 2 years ago
- Scaling Graph Processing on HBM-enabled FPGAs with Heterogeneous Pipelines☆22Updated 3 years ago
- [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yonga…☆16Updated 4 years ago
- [Mlsys'22] Understanding gnn computational graph: A coordinated computation, io, and memory perspective☆22Updated 2 years ago
- HLSyn benchmark for paper "Towards a Comprehensive Benchmark for FPGA Targeted High-Level Synthesis"☆31Updated 2 years ago
- Personal Digest of NAS (Under Construction 🛠)☆25Updated 5 years ago
- MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1☆35Updated 2 years ago
- A dataflow architecture for universal graph neural network inference via multi-queue streaming.☆75Updated 3 years ago
- Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs (MLSys'25)☆17Updated 9 months ago
- High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing☆53Updated last year