Alternatives and similar repositories for graph_metric.pytorch

Users that are interested in graph_metric.pytorch are comparing it to the libraries listed below

• HekpoMaH / algorithmic-concepts-reasoning
  ☆25Updated 4 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated last year
• gasteigerjo / lcn
  Locally corrected Nyström (LCN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, …
  ☆19Updated 2 years ago
• karl-zhao / benchmarking-gnns-pyg
  ☆31Updated 2 years ago
• cvignac / SMP
  ☆28Updated 3 years ago
• gasteigerjo / gtn
  Graph transport network (GTN), as proposed in "Scalable Optimal Transport in High Dimensions for Graph Distances, Embedding Alignment, an…
  ☆15Updated 2 years ago
• chrsmrrs / sparsewl
  Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"
  ☆22Updated 3 years ago
• tech-srl / bottleneck
  Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
  ☆95Updated 3 years ago
• AdrianArnaiz / DiffWire
  DiffWire: Inductive Graph Rewiring via the Lovász Bound. In Proceedings of the First Learning on Graphs Conference. 2022. Adrian Arnaiz-R…
  ☆19Updated 2 years ago
• chrsmrrs / SpeqNets
  ☆11Updated 2 years ago
• leichen2018 / GNN-Substructure-Counting
  The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
  ☆34Updated 4 years ago
• dms-net / scatteringGCN
  Scattering GCN: overcoming oversmoothness in graph convolutional networks
  ☆25Updated 3 years ago
• tk-rusch / gradientgating
  Gradient gating (ICLR 2023)
  ☆53Updated 2 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated 2 years ago
• MichailChatzianastasis / GOAT
  Official Code Repository for the paper "Graph Ordering Attention Networks"
  ☆21Updated last year
• RPaolino / fLode
  ☆18Updated last year
• 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
• TRI-GNN / TRI-GNN
  ☆12Updated 3 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆53Updated 7 months ago
• claying / GCKN
  Pytorch Implementation of Graph Convolutional Kernel Networks
  ☆54Updated 2 years ago
• Saro00 / DGN
  Implementation of Directional Graph Networks in PyTorch and DGL
  ☆118Updated 4 years ago
• flyingtango / DiGCL
  The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021
  ☆36Updated 3 years ago
• inria-thoth / GraphiT
  Official Pytorch Implementation of GraphiT
  ☆109Updated 4 years ago
• CUAI / Edge-Proposal-Sets
  Edge Proposal Sets for Link Prediction (https://arxiv.org/abs/2106.15810)
  ☆23Updated 2 years ago
• leichen2018 / Ring-GNN
  ☆12Updated 5 years ago
• balcilar / gnn-matlang
  Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021
  ☆41Updated 4 years ago
• beabevi / ESAN
  Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)
  ☆89Updated 2 years ago
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago