Alternatives and similar repositories for LG-ODE

Users that are interested in LG-ODE are comparing it to the libraries listed below

• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• ZijieH / CG-ODE
  ☆36Updated 3 years ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago
• wokas36 / GraphSNN
  Graph Structured Neural Network
  ☆40Updated 3 years ago
• CUAI / Non-Homophily-Benchmarks
  [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs
  ☆115Updated 3 years ago
• lucfra / LDS-GNN
  Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)
  ☆199Updated last year
• CongWeilin / GraphMixer
  ☆100Updated last year
• gear / gfnn
  Graph Filter Neural Network (ICPR'20)
  ☆48Updated 5 years ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆106Updated 3 months ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 4 years ago
• VGraphRNN / VGRNN
  Variational Graph Recurrent Neural Networks - PyTorch
  ☆116Updated 5 years ago
• snap-stanford / GIB
  Graph Information Bottleneck (GIB) for learning minimal sufficient structural and feature information using GNNs
  ☆137Updated 2 years ago
• uoguelph-mlrg / LDG
  PyTorch code for "Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions"
  ☆101Updated 4 years ago
• 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
• jianhao2016 / GPRGNN
  ☆135Updated 2 years ago
• ralphabb / GNN-RNI
  The codebase and datasets for the IJCAI 2021 paper "The Surprising Power of Graph Neural Networks with Random Node Initialization".
  ☆22Updated 4 years ago
• fpour / DGB
  Dynamic Graph Benchmark
  ☆82Updated 2 years ago
• stadlmax / Graph-Posterior-Network
  Graph Posterior Network: Bayesian Predictive Uncertainty for Node Classification (NeurIPS 2021)
  ☆44Updated 2 years ago
• muhanzhang / NestedGNN
  ☆58Updated 3 years ago
• ydtydr / HyLa
  This is the official repository for the paper "Laplacian Features for Learning with Hyperbolic Space"
  ☆13Updated 3 years ago
• Graph-COM / PEG
  ☆41Updated 2 years ago
• vijaydwivedi75 / gnn-lspe
  Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
  ☆264Updated 3 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆56Updated 2 years ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆22Updated 2 years ago
• DM2-ND / CFLP
  Author: Tong Zhao (tzhao2@nd.edu). ICML 2022. Learning from Counterfactual Links for Link Prediction
  ☆70Updated 3 years ago
• armanihm / GDC
  Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch
  ☆61Updated 5 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• ChandlerBang / GCond
  [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"
  ☆141Updated 10 months ago
• GraphPKU / JacobiConv
  How Powerful are Spectral Graph Neural Networks
  ☆73Updated 2 years ago
• nerdslab / bgrl
  PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)
  ☆81Updated 2 years ago