Alternatives and similar repositories for laser-release

Users that are interested in laser-release are comparing it to the libraries listed below

• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• kpetrovicc / TGR
  Temporal Graph Rewiring Method with Expander Graphs
  ☆12Updated last year
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆55Updated 2 years ago
• BenGutteridge / DRew
  ☆31Updated last year
• RPaolino / fLode
  ☆18Updated last year
• XiaoxinHe / neurips2023_learning_on_graphs
  List of papers on NeurIPS2023
  ☆89Updated last year
• GraphPKU / BREC
  ☆25Updated last year
• jctops / understanding-oversquashing
  ☆42Updated 3 years ago
• azminewasi / Awesome-Graph-Research-ICLR2024
  It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…
  ☆99Updated 11 months ago
• DSL-Lab / Specformer
  Transformer-based Spectral Graph Neural Networks
  ☆85Updated last year
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆91Updated last year
• chendiqian / PR-MPNN
  Official implementation for paper: Probabilistically Rewired Message-Passing Neural Networks, accepted at ICLR 2024.
  ☆21Updated 9 months ago
• Yujun-Yan / Heterophily_and_oversmoothing
  Codes for "Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks"
  ☆39Updated 2 years ago
• yandex-research / heterophilous-graphs
  A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?
  ☆120Updated 2 years ago
• toenshoff / LRGB
  ☆23Updated last year
• EdisonLeeeee / GraphSSM
  [NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study
  ☆15Updated 10 months ago
• syleeheal / AERO-GNN
  Code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.
  ☆30Updated 7 months ago
• zknus / Graph-Diffusion-CDE
  Graph Neural Convection-Diffusion with Heterophily
  ☆11Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆101Updated 4 months ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆16Updated 2 years ago
• jeongwhanchoi / PANDA
  🐼PANDA: Expanded Width-Aware Message Passing Beyond Rewiring, ICML 2024
  ☆21Updated last year
• vijaydwivedi75 / lrgb
  Long Range Graph Benchmark, NeurIPS 2022 Track on D&B
  ☆160Updated last year
• RManLuo / GSNOP
  Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.
  ☆34Updated 2 years ago
• Graph-COM / ED-HNN
  [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
  ☆49Updated last year
• GraphPKU / NeuralCommonNeighbor
  ☆48Updated last year
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆57Updated 2 years ago
• SitaoLuan / ACM-GNN
  NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…
  ☆86Updated 11 months ago
• ivam-he / ChebNetII
  PyTorch implementation of "Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited"
  ☆41Updated 2 years ago
• ChenJY-Count / PolyGCL
  PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"
  ☆15Updated last year