Alternatives and similar repositories for tabgraphs:

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

• JeanKaddour / SIN
  Causal Effect Inference for Structured Treatments (SIN) (NeurIPS 2021)
  ☆42Updated 2 years ago
• jjbrophy47 / tree_influence
  Influence Estimation for Gradient-Boosted Decision Trees
  ☆26Updated 9 months ago
• yandex-research / tabred
  TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆64Updated 3 months ago
• zwt233 / GAMLP
  ☆18Updated 2 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆23Updated last year
• awslabs / multi-table-benchmark
  ☆34Updated 7 months ago
• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆20Updated 10 months ago
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆19Updated 2 years ago
• usaito / kdd2022-tutorial
  ☆12Updated 2 years ago
• sisinflab / LoG-2023-GNNs-RecSys
  Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)
  ☆17Updated last year
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch and Tensorflow implementation of TVGNN, presented at ICML 2023.
  ☆20Updated last year
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 3 years ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆36Updated last year
• yandex-research / structural-graph-shifts
  New structural distributional shifts for evaluating graph models
  ☆16Updated last year
• DeepGraphLearning / SPN
  ☆29Updated 2 years ago
• G-Taxonomy-Workgroup / GPSE
  Graph Positional and Structural Encoder
  ☆46Updated last month
• KounianhuaDu / PET
  ☆23Updated 2 years ago
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• salesforce / RGRecSys
  ☆18Updated 2 years ago
• noveens / sampling_cf
  [ WSDM '22 ] On Sampling Collaborative Filtering Datasets
  ☆20Updated 3 years ago
• yaochenzhu / Deep-Deconf
  Official codes of paper "Deep causal reasoning for recommendations (Deep-Deconf)". (TIST'23)
  ☆26Updated 2 years ago
• ebonilla / VGCN
  Variational Graph Convolutional Networks
  ☆22Updated 4 years ago
• chendiqian / IPM_MPNN
  Repo for paper: Exploring the Power of Graph Neural Networks in Solving Linear Optimization Problems, accepted at AISTATS 2024
  ☆12Updated last year
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆43Updated 3 months ago
• anndvision / quince
  Code for Quantifying Ignorance in Individual-Level Causal-Effect Estimates under Hidden Confounding
  ☆21Updated 2 years ago
• shchur / triangular-tpp
  Implementation of "Fast and Flexible Temporal Point Processes with Triangular Maps" (Oral @ NeurIPS 2020)
  ☆23Updated last year
• karl-zhao / benchmarking-gnns-pyg
  ☆30Updated last year