ShengyuPei / planetoid_datasetsLinks
Planetoid datasets. Consist of Cora, Pubmed, Citeseer, Large_Cora, nell.0.1, nell.0.01, nell.0.001.
☆13Updated 5 years ago
Alternatives and similar repositories for planetoid_datasets
Users that are interested in planetoid_datasets are comparing it to the libraries listed below
Sorting:
- GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding☆114Updated 2 years ago
- SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization☆11Updated 4 years ago
- [FPGA 2020] Open sourced implementation for the ACM/SIGDA FPGA '20 paper titled "GraphACT: Accelerating GCN Training on CPU-FPGA Heteroge…☆18Updated 4 years ago
- G3: A Programmable GNN Training System on GPU☆43Updated 4 years ago
- ☆96Updated 2 years ago
- A reading list for deep graph learning acceleration.☆248Updated last month
- Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022☆22Updated 2 years ago
- Code for our paper "Binary Graph Neural Networks", CVPR 2021☆37Updated 4 years ago
- [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design☆37Updated 3 years ago
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 3 years ago
- Graph Partitoning Using Graph Convolutional Networks☆65Updated 3 years ago
- ☆16Updated 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
- [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/☆112Updated 2 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆490Updated 2 years ago
- In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo☆157Updated last year
- ☆47Updated 3 months ago
- ☆10Updated 2 years ago
- Polynormer: Polynomial-Expressive Graph Transformer in Linear Time☆41Updated last year
- An implementation of KDD paper "Graph Convolutional Networks with EigenPooling"☆49Updated 5 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- A Dataflow library for graph analytics acceleration☆14Updated 9 years ago
- Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"☆39Updated 3 years ago
- Datasets-for-Heterogeneous-Graph☆132Updated 5 years ago
- The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI☆35Updated 6 years ago
- GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks☆36Updated last year
- A scalable graph learning toolkit for extremely large graph datasets. (WWW'22, 🏆 Best Student Paper Award)☆154Updated last year
- Repo for the IISWC 2018 submission☆9Updated 3 years ago
- A software package for one-pass Vertex-cut balanced Graph Partitioning.☆31Updated 9 years ago
- This repo is to collect the state-of-the-art GNN hardware acceleration paper☆54Updated 4 years ago