Alternatives and similar repositories for sdp_clustering

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

• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• wooden-spoon / relational-ERM
  Software relating to relational empirical risk minimization
  ☆17Updated 3 years ago
• arbenson / cflp
  Code for core-fringe link prediction
  ☆11Updated 6 years ago
• bluer555 / KernelGCN
  Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs
  ☆34Updated 5 years ago
• nkeriven / random-graph-gnn
  ☆12Updated 4 years ago
• PurdueMINDS / GNNsMiscalibrated
  ☆16Updated 5 years ago
• mandt-lab / adversarial-negative-sampling
  Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)
  ☆14Updated 5 years ago
• counterfactual-ml / kdd2022-tutorial
  Counterfactual Evaluation and Learning for Interactive Systems: Foundations, Implementations, and Recent Advances
  ☆12Updated 2 years ago
• nd7141 / recsystutorial
  ☆16Updated 4 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• gn-exp / gn-exp
  Anonymous Repository for ICML LRG Workshop: On Explainability Techniques for Graph Convolutional Networks
  ☆23Updated 6 years ago
• hhcho / hyplinear
  MATLAB implementation of linear support vector classification in hyperbolic space
  ☆20Updated 7 years ago
• delta2323 / GB-GNN
  Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks
  ☆13Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 4 years ago
• hongyuanmei / nce-mpp
  Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).
  ☆15Updated 4 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆23Updated last year
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 3 years ago
• mims-harvard / fastGNMF
  Fast graph-regularized matrix factorization
  ☆20Updated last year
• csinva / mdl-complexity
  MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
  ☆18Updated last year
• rjagerman / wsdm2019-nonstationary
  Non-stationary Off-policy Evaluation
  ☆13Updated 6 years ago
• PurdueMINDS / RelationalPooling
  ☆35Updated 5 years ago
• cemoody / flexi_hash_embedding
  PyTorch Flexible Hash Embeddings
  ☆28Updated 5 years ago
• cgartrel / nonsymmetric-DPP-learning
  PyTorch implementation of nonsymmetric determinantal point process (DPP) learning.
  ☆24Updated 2 years ago
• StatsDLMathsRecomSys / Generative-Graph-Convolutional-Network-for-Growing-Graphs
  ☆12Updated 5 years ago
• anirudh9119 / walkback_nips17
  Variational Walkback, NIPS'17
  ☆28Updated 7 years ago
• NNReasoning / What-Can-Neural-Networks-Reason-About
  ☆45Updated 4 years ago
• BorisMuzellec / EllipticalEmbeddings
  Python code for implementing embeddings in the Wasserstein space of elliptical distributions
  ☆11Updated 4 years ago
• delta2323 / gnn-asymptotics
  Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.
  ☆30Updated 5 years ago