Alternatives and similar repositories for CG-ODE

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

• 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
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆21Updated 2 years ago
• zepengzhang / awesome-graph-structure-learning
  A collection of papers on Graph Structural Learning (GSL)
  ☆55Updated last year
• abcbdf / ADC
  ☆25Updated last year
• Emory-Melody / Awesome-Graph-Neural-Differential-Equations
  Paper list on GNNs + Differential Equations (ODE, PDE, SDE)
  ☆34Updated 2 months ago
• ZijieH / LG-ODE
  ☆33Updated 3 years ago
• lsh0520 / RGCL
  Ratioanle-aware Graph Contrastive Learning codebase
  ☆44Updated 2 years ago
• DeepGraphLearning / ContinuousGNN
  ☆47Updated 3 years ago
• CongWeilin / GraphMixer
  ☆101Updated last year
• TaiLvYuanLiang / HGWaveNet
  ☆12Updated last year
• KimMeen / Neural-Temporal-Walks
  [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…
  ☆54Updated 2 years ago
• ivam-he / BernNet
  PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"
  ☆56Updated 2 years ago
• hieubkvn123 / revisiting-gnn-curvature
  Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper
  ☆17Updated 2 years ago
• Graph-COM / PEG
  ☆41Updated 2 years ago
• ahxt / g-mixup
  [ICML2022] G-Mixup: Graph Data Augmentation for Graph Classification
  ☆106Updated last year
• usail-hkust / Awesome-Causality-Inspired-GNNs
  An awesome collection of causality-inspired graph neural networks.
  ☆82Updated 8 months ago
• GemsLab / H2GCN
  Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)
  ☆104Updated last month
• zaixizhang / Graph_Transformer
  A pytorch implementation of graph transformer for node classification
  ☆33Updated 2 years ago
• RecklessRonan / GloGNN
  ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
  ☆44Updated 3 years ago
• zaixizhang / ANS-GT
  NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"
  ☆52Updated last year
• THUDM / GRAND-plus
  Code and dataset for paper "GRAND+: Scalable Graph Random Neural Networks"
  ☆34Updated 3 years ago
• qitianwu / GraphOOD-EERM
  The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"
  ☆91Updated 2 years ago
• JHL-HUST / NAGphormer
  NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs
  ☆128Updated last year
• fannie1208 / CaNet
  [WWW2024 Oral paper] "Graph Out-of-Distribution Generalization via Causal Intervention”.
  ☆26Updated 9 months ago
• calvin-zcx / ndcn
  Neural Dynamics on Complex Networks
  ☆53Updated 4 years ago
• jianhao2016 / AllSet
  This is the GitHub repository for our ICLR22 paper: "You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks"
  ☆100Updated 2 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆47Updated 11 months ago
• yixinliu233 / GREET
  [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating
  ☆52Updated 2 years ago
• AndrewZhou924 / Awesome-Graph-Prompting
  A curated list of resources for graph prompting methods
  ☆30Updated last year
• YuanchenBei / Awesome-Graph-Transfer-Learning
  A curated list of papers on graph transfer learning (GTL).
  ☆17Updated last year