Alternatives and similar repositories for SawETM

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

• cezhang01 / Adjacent-Encoder
  Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"
  ☆11Updated 5 years ago
• iesl / expLinkage
  Supervised hierarchical clustering
  ☆10Updated 5 years ago
• bobxwu / DecTM
  Code for Discovering Topics in Long-tailed Corpora with Causal Intervention (ACL findings2021)
  ☆18Updated last year
• misonuma / tsntm
  A code for "Tree-Structured Neural Topic Model" in ACL2020
  ☆19Updated 3 years ago
• ChaoLiang-HUST / ICCL
  In-context Contrastive Learning for Event Causality Identification
  ☆15Updated last year
• BoChenGroup / CPGBN
  The demo for "Convolutional Poisson Gamma Belief Network" published in ICML2019
  ☆11Updated 3 years ago
• hrna-ox / camelot-icml
  Code for submission XXXX
  ☆11Updated 2 years ago
• hmorioka / CCL
  Connectivity-contrastive learning (CCL)
  ☆10Updated 2 years ago
• amy-deng / cape
  ☆13Updated 3 years ago
• zknus / Robustness-of-Graph-Neural-Diffusion
  On the Robustness of Graph Neural Diffusion to Topology Perturbations
  ☆16Updated 3 years ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• snudatalab / GraphAug
  Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)
  ☆21Updated 3 months ago
• uthsavc / hypergraph-halo-ranking
  ☆11Updated 6 years ago
• azinmatin / prince
  ☆11Updated 3 years ago
• dgliu / KDD22_UEG
  Experiments codes for SIGKDD '22 paper "User-Event Graph Embedding Learning for Context-Aware Recommendation"
  ☆11Updated 3 years ago
• XuexiongLuoMQ / GLADC
  The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.
  ☆12Updated 2 years ago
• 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
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 5 months ago
• pyrobits / DGCluster
  ☆12Updated 10 months ago
• yushundong / REDRESS
  Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.
  ☆12Updated 3 years ago
• snudatalab / SVGA
  Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)
  ☆19Updated 2 years ago
• GentleZhu / Shift-Robust-GNNs
  "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')
  ☆49Updated 3 years ago
• HCDM / XRec
  Models for explainable recommendation.
  ☆12Updated last year
• yh-yao / InterpretableClustering
  ☆24Updated last year
• xiongbo010 / QGCN
  PyTorch implementation of Pseudo-Riemannian Graph Convolutional Networks (NeurIPS'22))
  ☆17Updated last year
• cuilimeng / DETERRENT
  ☆30Updated 5 years ago
• karenyang / GCN-VAE
  project GCN-VAE for knowledge graphs
  ☆16Updated 5 years ago
• yangchengbupt / NeuralDiffusionModel
  ☆17Updated 7 years ago
• gasmichel / PathNNs_expressive
  This repository contains the code to reproduce experiments presented in the paper "Path Neural Networks: Expressive and Accurate Graph Ne…
  ☆27Updated 2 years ago
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 2 years ago