Alternatives and similar repositories for taser-tgnn:

Users that are interested in taser-tgnn are comparing it to the libraries listed below

• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆12Updated 11 months ago
• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆79Updated 2 months ago
• snap-research / MLPInit-for-GNNs
  [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
  ☆77Updated last year
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆38Updated 3 years ago
• facebookresearch / forwardgnn
  This repository provides code for the paper "Forward Learning of Graph Neural Networks" (ICLR 2024).
  ☆16Updated 10 months ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆37Updated 2 years ago
• MortezaRamezani / lazygcn
  LazyGCN
  ☆9Updated 4 years ago
• VITA-Group / Large_Scale_GCN_Benchmarking
  This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…
  ☆66Updated last year
• qym7 / SparseDiff
  Official implementation for 'Sparse denoising diffusion for large graph generation'
  ☆58Updated 9 months ago
• GATECH-EIC / BNS-GCN
  [MLSys 2022] "BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node …
  ☆53Updated last year
• VITA-Group / Deep_GCN_Benchmarking
  [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…
  ☆126Updated 3 years ago
• hangxu0304 / DeepReduce
  A Sparse-tensor Communication Framework for Distributed Deep Learning
  ☆13Updated 3 years ago
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆92Updated 11 months ago
• amazon-science / disttgl
  ☆13Updated last year
• metacarbon / shareAtt
  Beyond KV Caching: Shared Attention for Efficient LLMs
  ☆15Updated 7 months ago
• phython96 / ARGNP
  Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
  ☆26Updated 11 months ago
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 3 years ago
• fla-org / flash-bidirectional-linear-attention
  Triton implement of bi-directional (non-causal) linear attention
  ☆42Updated last month
• hwang595 / Cuttlefish
  The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
  ☆43Updated last year
• HyeonsooJo / MetaGC
  Robust Graph Clustering via Meta Weighting for Noisy Graphs (CIKM'23)
  ☆8Updated last year
• GraphPKU / I2GNN
  official code for I2GNN.
  ☆12Updated last year
• chenzhao / light-dist-gnn
  ☆46Updated 2 years ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆29Updated this week
• WanyuGroup / CVPR2022-OrphicX
  Official code for the CVPR 2022 (oral) paper "OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks.…
  ☆34Updated 2 years ago
• daochenzha / dreamshard
  [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems
  ☆29Updated last year
• PKU-ML / ContraNorm
  Official code for ICLR 2023 paper "ContraNorm: A Contrastive Learning Perspective on Oversmoothing and Beyond "
  ☆34Updated last year
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆29Updated 8 months ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆20Updated 10 months ago
• shyam196 / egc
  "Do We Need Anisotropic Graph Neural Networks?" at ICLR 2022
  ☆31Updated 2 years ago
• iMoonLab / LLM4Hypergraph
  The source code of ICLR 2025 "Beyond Graphs: Can Large Language Models Comprehend Hypergraphs?"
  ☆25Updated last month