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"
  ☆12Updated 4 years ago
• amy-deng / cape
  ☆13Updated 2 years ago
• TrustAGI-Lab / MERIT
  [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".
  ☆40Updated 2 years ago
• WANGXinyiLinda / Neural-Topic-Model-with-Attention-for-Supervised-Learning
  This the repository for the AISTATS 2020 paper Neural Topic Model with Attention for Supervised Learning.
  ☆31Updated 5 years ago
• misonuma / tsntm
  A code for "Tree-Structured Neural Topic Model" in ACL2020
  ☆18Updated 2 years ago
• TianXieUSC / GraphHop
  ☆19Updated 2 years ago
• weicy15 / CGI
  Contrastive Graph Structure Learning via Information Bottleneck for Recommendation
  ☆27Updated 2 years ago
• reddy-lab / GraphZoo
  Facilitating learning, using, and designing graph processing pipelines/models systematically.
  ☆27Updated 2 years ago
• Lion-ZS / OTKGE
  ☆31Updated 2 years ago
• yixinliu233 / SimpDM
  [CIKM'24] Self-Supervision Improves Diffusion Models for Tabular Data Imputation
  ☆14Updated 7 months ago
• PeterGriffinJin / Heterformer
  Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks (KDD 2023)
  ☆23Updated last year
• RingBDStack / PASTEL
  Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"
  ☆15Updated last year
• BoChenGroup / CPGBN
  The demo for "Convolutional Poisson Gamma Belief Network" published in ICML2019
  ☆11Updated 2 years ago
• kaize0409 / Meta-PN
  PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)
  ☆29Updated 3 years ago
• HongtengXu / Reading-List
  A list of papers for group meeting
  ☆16Updated 3 months ago
• songjiang0909 / HINTS_code
  Code for "HINTS: Citation Time Series Prediction for New Publications via Dynamic Heterogeneous Information Network Embedding".
  ☆12Updated 3 years ago
• tengxiao1 / GraphACL
  GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)
  ☆31Updated 10 months ago
• wondergo2017 / DIDA
  Implementation Codes for NeurIPS22 paper "Dynamic Graph Neural Networks Under Spatio-Temporal Distribution Shift"
  ☆20Updated 2 years ago
• googlebaba / StableGNN
  StableGNN-Generalizing Graph Neural Networks on Out-Of-Distribution Graphs
  ☆22Updated last year
• ujeong1 / IEEEBigdata22_HGFND
  ☆35Updated last year
• EnyanDai / NRGNN
  Offical pytorch implementation of proposed NRGNN and Compared Methods in "NRGNN: Learning a Label Noise-Resistant Graph Neural Network on…
  ☆42Updated 2 years ago
• ZhuYun97 / RoSA
  Official implementation of RoSA: A Robust Self-Aligned Framework for Node-Node Graph Contrastive Learning
  ☆35Updated 2 years ago
• KXY-PUBLIC / DiCGRL
  ☆11Updated 4 years ago
• RingBDStack / SE-GSL
  The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"
  ☆11Updated 2 years ago
• Louise-LuLin / topic-gcn
  CGAT: Channel-aware Graph Attention Networks
  ☆20Updated 2 years ago
• liugangcode / SGIR
  [KDD'23] Source codes of "Semi-Supervised Graph Imbalanced Regression"
  ☆20Updated last year
• YuWang-1024 / ContrastVAE
  ☆37Updated last year
• Shen-Lab / GDA-SpecReg
  [ICLR 2023] "Graph Domain Adaptation via Theory-Grounded Spectral Regularization" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen
  ☆21Updated 2 years ago
• GuanZhengChen / GGPN
  ☆10Updated 3 years ago
• jingweio / LGD-GCN
  [TNNLS 2022] Code for "Learning Disentangled Graph Convolutional Networks Locally and Globally"
  ☆19Updated last year