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
• 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 2 years ago
• amy-deng / cape
  ☆13Updated 3 years ago
• iesl / expLinkage
  Supervised hierarchical clustering
  ☆10Updated 5 years ago
• hmorioka / CCL
  Connectivity-contrastive learning (CCL)
  ☆10Updated 2 years ago
• BoChenGroup / CPGBN
  The demo for "Convolutional Poisson Gamma Belief Network" published in ICML2019
  ☆11Updated 2 years ago
• ChaoLiang-HUST / ICCL
  In-context Contrastive Learning for Event Causality Identification
  ☆14Updated last year
• hrna-ox / camelot-icml
  Code for submission XXXX
  ☆11Updated 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
• ermongroup / BCD-Nets
  Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021
  ☆26Updated 4 years ago
• zknus / Robustness-of-Graph-Neural-Diffusion
  On the Robustness of Graph Neural Diffusion to Topology Perturbations
  ☆16Updated 2 years ago
• vanderschaarlab / DECAF
  DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
  ☆21Updated 4 months ago
• snudatalab / GraphAug
  Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)
  ☆21Updated 2 months ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• uthsavc / hypergraph-halo-ranking
  ☆11Updated 6 years ago
• azinmatin / prince
  ☆10Updated 3 years ago
• pyrobits / DGCluster
  ☆12Updated 8 months ago
• XuexiongLuoMQ / GLADC
  The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.
  ☆11Updated 2 years ago
• PurdueMINDS / size-invariant-GNNs
  Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)
  ☆23Updated 2 years ago
• xiyou3368 / DGVAE
  ☆25Updated 4 years ago
• zikunye2 / deep_learning_based_causal_inference_for_combinatorial_experiments
  codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments
  ☆14Updated 7 months ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆24Updated 2 years ago
• namkoong-lab / LLM-Tabular-Shifts
  Code for "LLM Embeddings Improve Test-time Adaptation to Tabular Y|X-Shifts"
  ☆11Updated last year
• songjiang0909 / HINTS_code
  Code for "HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding".
  ☆14Updated 3 years ago
• sanghack81 / SDCIT
  A set of kernel-based (Un)conditional independence tests including SDCIT (Lee and Honavar, UAI 2017)
  ☆16Updated 5 years ago
• msaveski / toxic_conversation_structure
  Replication code for "The Structure of Toxic Conversations on Twitter" (WWW'21)
  ☆10Updated 4 years ago
• ameet-1997 / AttentionGuidance
  Guiding Attention for Self-Supervised Learning with Transformers
  ☆12Updated 2 years ago
• KXY-PUBLIC / DiCGRL
  ☆11Updated 4 years ago
• Yunfan-Li / Interpretable-Neural-Clustering
  Code for the paper "XAI Beyond Classification: Interpretable Neural Clustering" (JMLR 2022)
  ☆13Updated 3 years ago