Alternatives and similar repositories for MultiplexDiseasome

Users that are interested in MultiplexDiseasome are comparing it to the libraries listed below

• luoyuanlab / SHINE
  NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork
  ☆19Updated 2 years ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆54Updated 3 years ago
• Flawless1202 / VGAE_pyG
  An VGAE implementation using pytorch geometric.
  ☆49Updated 5 years ago
• mims-harvard / SubGNN
  Subgraph Neural Networks (NeurIPS 2020)
  ☆203Updated 4 years ago
• vunhatminh / PGMExplainer
  Generating PGM Explanation for GNN predictions
  ☆75Updated 2 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆50Updated last year
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆73Updated 3 years ago
• LPioL / MultiVERSE
  ☆20Updated 5 years ago
• EdisonLeeeee / MaskGAE
  [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders
  ☆91Updated last year
• wenchieh / specgreedy
  Unified Dense Subgraph Detection Algorithms: **Best student DM paper award in ECML-PKDD'20**
  ☆17Updated last year
• davidbuterez / gnn-neural-readouts
  ☆27Updated last year
• luoyunan / PyDTINet
  A Python implementation of DTINet
  ☆16Updated 3 years ago
• THUDM / GraphMAE2
  GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23
  ☆183Updated 2 years ago
• ma-compbio / Hyper-SAGNN
  hypergraph representation learning, graph neural network
  ☆101Updated last year
• mims-harvard / GraphXAI
  GraphXAI: Resource to support the development and evaluation of GNN explainers
  ☆205Updated last year
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆144Updated last year
• cmavro / Graph-InfoClust-GIC
  [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning
  ☆34Updated 3 years ago
• meettyj / NOSMOG
  Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".
  ☆34Updated 2 years ago
• divelab / LGLP
  ☆21Updated 4 years ago
• tlancian / contrast-subgraph
  "Explainable classification of brain networks via contrast subgraphs" - T. Lanciano, F. Bonchi, A. Gionis
  ☆20Updated 3 years ago
• maxiaoba / GRAPE
  ☆146Updated 4 years ago
• mgao97 / Higher-Order-Network
  ☆17Updated last year
• gbouritsas / GSN
  Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…
  ☆104Updated 4 years ago
• DongqiFu / DPPIN
  DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022
  ☆32Updated 2 years ago
• haoyfan / HeteHG-VAE
  Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)
  ☆36Updated 4 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆50Updated last year
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆84Updated 2 years ago
• hazdzz / awesome-gnn
  A list for GNNs and related works.
  ☆104Updated 2 months ago
• RingBDStack / SUGAR
  Code for "SUGAR: Subgraph Neural Network with Reinforcement Pooling and Self-Supervised Mutual Information Mechanism"
  ☆62Updated 4 years ago
• iDEA-iSAIL-Lab-UIUC / pyg-ssl
  Graph Self-Supervised Learning Toolkit
  ☆44Updated 7 months ago