Alternatives and similar repositories for link-prediction

Users that are interested in link-prediction are comparing it to the libraries listed below

• dzambon / cdg
  Change Detection in a sequence of Graphs
  ☆22Updated 3 years ago
• zjost / blog_code
  A repo for holding example code
  ☆158Updated 5 months ago
• robertness / causalvae
  ☆18Updated 6 years ago
• AntonioLonga / AdvancePyTorchGeometricTutorials
  here you can find the material used for our Tutorials
  ☆101Updated 3 years ago
• paulmorio / geo2dr
  Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.
  ☆46Updated 2 years ago
• joshpxyne / deep-hyperedges
  New Algorithms for Learning on Hypergraphs
  ☆41Updated 3 years ago
• mberr / torch-ppr
  (Personalized) Page-Rank computation using PyTorch
  ☆92Updated 2 years ago
• chrsmrrs / tudataset
  ☆97Updated 2 years ago
• mdeff / learning-from-graphs-webconf2021
  Learning from Graphs: From Mathematical Principles to Practical Tools
  ☆11Updated 4 years ago
• nd7141 / graph_datasets
  Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.
  ☆90Updated 5 years ago
• benedekrozemberczki / EdMot
  An implementation of "EdMot: An Edge Enhancement Approach for Motif-aware Community Detection" (KDD 2019)
  ☆133Updated 3 years ago
• ftudisco / scalefreechunglu
  Implementation of a fast Chung-Lu random graph generator
  ☆11Updated 6 years ago
• nd7141 / bgnn
  ☆173Updated last year
• closest-git / QuantumForest
  Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
  ☆78Updated 3 years ago
• benedekrozemberczki / SINE
  A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
  ☆71Updated 2 years ago
• benedekrozemberczki / DANMF
  A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
  ☆206Updated 2 years ago
• LeeDoYup / TGGNet-keras
  Official implementation of Temporal-Guided Networks
  ☆48Updated 5 years ago
• mmiller96 / netgan_pytorch
  ☆31Updated last year
• benedekrozemberczki / spatiotemporal_datasets
  Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
  ☆60Updated last year
• benedekrozemberczki / FEATHER
  The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…
  ☆49Updated 2 years ago
• deezer / linear_graph_autoencoders
  Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…
  ☆134Updated 5 years ago
• chendiqian / IPM_MPNN
  Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
  ☆17Updated 2 years ago
• KaiyuanZh / awesome-graph-representation-learning
  A curated list of awesome graph representation learning.
  ☆69Updated 5 years ago
• abhilash1910 / SpectralEmbeddings
  spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…
  ☆64Updated 4 years ago
• mtsang / interaction_interpretability
  Feature Interaction Interpretability via Interaction Detection
  ☆35Updated 2 years ago
• diningphil / PyDGN
  A research library for automating experiments on Deep Graph Networks
  ☆222Updated 3 months ago
• benedekrozemberczki / GraphWaveMachine
  A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".
  ☆188Updated 2 years ago
• moorecsys / moorecsys.github.io
  Tutorial on Multi-Objective Recommender Systems @ KDD 2021
  ☆19Updated 2 years ago
• dglai / KDD20-Hands-on-Tutorial
  Scalable Graph Neural Networks with Deep Graph Library
  ☆151Updated 4 years ago
• dglai / dgl_winter_school
  ☆32Updated 4 years ago