BoChenGroup / SawETMLinks
The demo for "Sawtooth Factorial Topic Embeddings Guided Gamma Belief Network" in ICML 2021
☆11Updated 4 years ago
Alternatives and similar repositories for SawETM
Users that are interested in SawETM are comparing it to the libraries listed below
Sorting:
- Supervised hierarchical clustering☆10Updated 5 years ago
- Source code of the AAAI-2020 paper "Topic Modeling on Document Networks with Adjacent-Encoder"☆11Updated 5 years ago
- Code for Discovering Topics in Long-tailed Corpora with Causal Intervention (ACL findings2021)☆18Updated last year
- A code for "Tree-Structured Neural Topic Model" in ACL2020☆19Updated 3 years ago
- ☆12Updated 10 months ago
- In-context Contrastive Learning for Event Causality Identification☆15Updated last year
- The demo for "Convolutional Poisson Gamma Belief Network" published in ICML2019☆11Updated 3 years ago
- Model-Agnostic Augmentation for Accurate Graph Classification (WWW 2022)☆21Updated 4 months ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆49Updated 3 years ago
- This repository reproduces the results in the paper "How expressive are transformers in spectral domain for graphs?"(published in TMLR)☆12Updated 3 years ago
- DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks☆21Updated 6 months ago
- Connectivity-contrastive learning (CCL)☆11Updated 2 years ago
- Code for submission XXXX☆11Updated 2 years ago
- Accurate Node Feature Estimation with Structured Variational Graph Autoencoder (KDD 2022)☆19Updated 2 years ago
- ☆13Updated 3 years ago
- Size-Invariant Graph Representations for Graph Classification Extrapolations (ICML 2021 Long Talk)☆23Updated 2 years ago
- The paper "Deep Graph Level Anomaly Detection with Contrastive Learning" has been accepted by Scientific Reports Journal.☆12Updated 2 years ago
- On the Robustness of Graph Neural Diffusion to Topology Perturbations☆16Updated 3 years ago
- Official implementation of GraphMask as presented in our paper Interpreting Graph Neural Networks for NLP With Differentiable Edge Maskin…☆46Updated 4 years ago
- Code for `BCD Nets: Scalable Variational Approaches for Bayesian Causal Discovery`, Neurips 2021☆26Updated 4 years ago
- codes for the paper Deep Learning Based Casual Inference for Combinatorial Experiments☆14Updated 9 months ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Updated 3 years ago
- Open-source code for ''Individual Fairness for Graph Neural Networks: A Ranking based Approach''.☆12Updated 3 years ago
- ☆11Updated 3 years ago
- PyTorch Implementation for "Meta Propagation Networks for Graph Few-shot Semi-supervised Learning" (AAAI2022)☆29Updated 3 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)☆17Updated last year
- ☆11Updated 6 years ago
- Models for explainable recommendation.☆12Updated last year
- Code for Online Graph Dictionary Learning☆18Updated 3 years ago
- ☆29Updated 3 years ago