Alternatives and similar repositories for planetoid_datasets

Users that are interested in planetoid_datasets are comparing it to the libraries listed below

• cornell-zhang / GraphZoom
  GraphZoom: A Multi-level Spectral Approach for Accurate and Scalable Graph Embedding
  ☆114Updated 2 years ago
• GraphSAINT / GraphACT
  [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
• Xtra-Computing / G3
  G3: A Programmable GNN Training System on GPU
  ☆43Updated 5 years ago
• BUAA-CI-LAB / Literatures-on-GNN-Acceleration
  A reading list for deep graph learning acceleration.
  ☆252Updated last month
• tedzhouhk / GCNP
  ☆16Updated 3 years ago
• GATECH-EIC / GCoD
  [HPCA 2022] GCoD: Graph Convolutional Network Acceleration via Dedicated Algorithm and Accelerator Co-Design
  ☆36Updated 3 years ago
• KarypisLab / PM4GNN
  Graph partitioning for distributed GNN training
  ☆14Updated 2 years ago
• SZU-AdvTech-2022 / 376-HyGCN-A-GCN-Accelerator-with-Hybrid-Architecture
  ☆10Updated 2 years ago
• lilasrahis / GNN4REL
  Graph Neural Networks for Predicting Circuit Reliability Degradation. TCAD 2022
  ☆23Updated 2 years ago
• saurabhdash / GCN_Partitioning
  Graph Partitoning Using Graph Convolutional Networks
  ☆65Updated 3 years ago
• mcavus / Kernighan-Lin
  Implementation of Kernighan-Lin graph partitioning algorithm in Python
  ☆50Updated 6 years ago
• GATECH-EIC / BNS-GCN
  [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …
  ☆56Updated last year
• russellizadi / ssp
  ☆96Updated 2 years ago
• cornell-zhang / GARNET
  GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks
  ☆36Updated last year
• PASSIONLab / CAGNET
  ☆46Updated 5 months ago
• GraphSAINT / GraphSAINT
  [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…
  ☆496Updated 3 years ago
• mbahri / binary_gnn
  Code for our paper "Binary Graph Neural Networks", CVPR 2021
  ☆37Updated 4 years ago
• cornell-zhang / Polynormer
  Polynormer: Polynomial-Expressive Graph Transformer in Linear Time
  ☆41Updated last year
• acbull / LADIES
  Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"
  ☆76Updated 2 years ago
• LARS-research / PAS
  The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.
  ☆26Updated 3 years ago
• MITIBMxGraph / SALIENT
  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
• YukeWang96 / SGQuant
  SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization
  ☆11Updated 5 years ago
• Sunarker / GAT-for-PPI
  The code of Graph Attention Networks for Cora, Citeseer, Pubmed and PPI
  ☆35Updated 6 years ago
• chenxuhao / ReadingList
  Papers on Graph Analytics, Mining, and Learning
  ☆127Updated 3 years ago
• tayo / GraphOps
  A Dataflow library for graph analytics acceleration
  ☆14Updated 9 years ago
• pyyush / GraphML
  PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks"
  ☆14Updated 2 years ago
• xxcclong / GNN-Computing
  Artifact for PPoPP20 "Understanding and Bridging the Gaps in Current GNN Performance Optimizations"
  ☆39Updated 3 years ago
• bywmm / Bi-GCN
  Implementation of "Binary Graph Convolutional Network", CVPR 2021, and TPAMI 2024.
  ☆26Updated last year
• hehaodele / circuit-gnn
  [ICML 2019] Circuit-GNN: Graph Neural Networks for Distributed Circuit Design http://circuit-gnn.csail.mit.edu/
  ☆111Updated 2 years ago
• fabiopetroni / VGP
  A software package for one-pass Vertex-cut balanced Graph Partitioning.
  ☆32Updated 10 years ago