facebookresearch / taser-tgnn

Related projects ⓘ

Alternatives and complementary repositories for taser-tgnn

• IllinoisGraphBenchmark / IGB-Datasets
  Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…
  ☆75Updated 2 months ago
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆11Updated 7 months ago
• NVlabs / COAT
  ☆24Updated this week
• kyegomez / MAGVIT2
  Open source community's implementation of the model from "LANGUAGE MODEL BEATS DIFFUSION — TOKENIZER IS KEY TO VISUAL GENERATION"
  ☆15Updated this week
• snap-research / MLPInit-for-GNNs
  [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
  ☆76Updated last year
• savadikarc / gift
  GIFT: Generative Interpretable Fine-Tuning
  ☆18Updated last month
• maxxu05 / openreview_summarizereviews
  Summarizing Mean Review Score for All Submissions for a Conference hosted on Openreview
  ☆19Updated 11 months ago
• daochenzha / dreamshard
  [NeurIPS 2022] DreamShard: Generalizable Embedding Table Placement for Recommender Systems
  ☆28Updated last year
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆33Updated 3 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 …
  ☆52Updated last year
• wolfecameron / GIST
  Repository for "GIST: Distributed training for large-scale graph convolutional networks"
  ☆14Updated last year
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆23Updated 6 months ago
• THUDM / SCR
  SCR: Training Graph Neural Networks with Consistency Regularization
  ☆37Updated 2 years ago
• 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
• YangLing0818 / VQGraph
  [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
  ☆78Updated 7 months ago
• camlsys / degree-quant
  ICLR 2021
  ☆43Updated 3 years ago
• WtaoZhao / GraphGLOW
  PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks
  ☆35Updated last year
• metacarbon / shareAtt
  Beyond KV Caching: Shared Attention for Efficient LLMs
  ☆13Updated 3 months ago
• Open-Source-ML / awesome-human-centered-ai
  A curated list of awesome human-centered AI resources.
  ☆44Updated 2 years ago
• hwang595 / Cuttlefish
  The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
  ☆43Updated last year
• Adamdad / rational_kat_cu
  ☆37Updated last month
• HyeonsooJo / MetaGC
  Robust Graph Clustering via Meta Weighting for Noisy Graphs (CIKM'23)
  ☆8Updated last year
• phython96 / ARGNP
  Pytorch Implementation of Automatic Relation-aware Graph Network Proliferation (CVPR2022 Oral)
  ☆25Updated 7 months ago
• zirui-ray-liu / Exact
  ☆18Updated 2 years ago
• Data-Centric-GraphML / awesome-papers
  A collection of papers and resources about Data-centric Graph Machine Learning (DC-GML).
  ☆44Updated last year
• yang-han / P-reg
  Rethinking Graph Regularization for Graph Neural Networks (AAAI2021)
  ☆34Updated 3 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆70Updated 3 months ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆25Updated 4 months ago
• JerryYin777 / PaperHelper
  PaperHelper: Knowledge-Based LLM QA Paper Reading Assistant with Reliable References
  ☆9Updated 4 months ago