Alternatives and similar repositories for tabgraphs

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

• snap-research / LargeGT
  Graph Transformers for Large Graphs
  ☆21Updated last year
• ansonb / FeTA_TMLR
  This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)
  ☆12Updated 3 years ago
• diningphil / continual_learning_for_graphs
  ☆13Updated 4 years ago
• samihaija / isvd
  Official implementation of NeurIPS'21: Implicit SVD for Graph Representation Learning
  ☆20Updated 3 years ago
• luis-mueller / wl-transformers
  Code for our ICML 2024 paper "Aligning Transformers with Weisfeiler-Leman"
  ☆10Updated last year
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆16Updated last year
• zwt233 / GAMLP
  ☆19Updated 3 years ago
• lrnzgiusti / on-oversquashing
  Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
  ☆15Updated last year
• seharanul17 / synthetic-tabular-LLM
  ☆14Updated 7 months ago
• noamrazin / gnn_interactions
  Code for reproducing experiments in "On the Ability of Graph Neural Networks to Model Interactions Between Vertices"
  ☆25Updated last year
• FilippoMB / Total-variation-graph-neural-networks
  Pytorch (PyG) and Tensorflow (Keras/Spektral) implementation of Total Variation Graph Neural Network (TVGNN), as presented at ICML 2023.
  ☆20Updated 4 months ago
• BorgwardtLab / filtration_curves
  Code for the KDD 2021 paper 'Filtration Curves for Graph Representation'
  ☆18Updated last year
• LeonResearch / City-Networks
  Quantifying long-range dependency in GNN: a large-scale dataset and a measurement.
  ☆14Updated last month
• danielemalitesta / Multimodal-DL-4-RecSys
  Official GitHub repository of the lecture "Multimodal Deep Learning for Recommendation", at the 2024 ACM RecSys Summer School
  ☆10Updated 9 months ago
• chingyaoc / TMD
  NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks
  ☆37Updated last year
• LFhase / GMT
  [ICML 2024] How Interpretable Are Interpretable Graph Neural Networks?
  ☆13Updated last year
• layer6ai-labs / TabDPT-inference
  TabDPT: Scaling Tabular Foundation Models on Real Data
  ☆33Updated this week
• nec-research / Adaptive-Message-Passing
  Official Repository of Adaptive Message Passing
  ☆16Updated last week
• yannadani / cbed
  Official implementation of the paper "Interventions, Where and How? Experimental Design for Causal Models at Scale", NeurIPS 2022.
  ☆20Updated 2 years ago
• snap-stanford / conformalized-gnn
  Uncertainty Quantification over Graph with Conformalized Graph Neural Networks (NeurIPS 2023)
  ☆83Updated last year
• zhongyu1998 / PG-GNN
  Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"
  ☆27Updated 3 years ago
• 000Justin000 / gnn-residual-correlation
  ☆20Updated 4 years ago
• yxzwang / PhenomNN
  Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks
  ☆22Updated 2 years ago
• DeepGraphLearning / SPN
  ☆29Updated 3 years ago
• COMPiLELab / HyperND
  The implementation of HyperND from the Nonlinear Feature Diffusion on Hypergraphs paper
  ☆13Updated 3 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆48Updated 3 years ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated last year
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• yandex-research / tabred
  (ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
  ☆77Updated last month
• mlfoundations / rtfm
  Research on Tabular Foundation Models
  ☆53Updated 7 months ago