320 Open source projects that are alternatives of or similar to SiGAT

A Neural Network based Chatbot

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series

Code for the CHAMPS Predicting Molecular Properties Kaggle competition

odr.chalmers.se/handle/20.500.12380/256629?locale=en

Context-Aware Visual Compatibility Prediction (https://arxiv.org/abs/1902.03646)

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

Pytorch implementation of a basic language model using Attention in LSTM network

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Attention Unet model with post process for retina optic disc segmention

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

Summary of social recommendation papers and codes

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Mid-level PyTorch Based Framework for Visual Question Answering.

Graph Robustness Benchmark: A scalable, unified, modular, and reproducible benchmark for evaluating the adversarial robustness of Graph Machine Learning.

Tensorflow implementation of Attention-based Bidirectional RNN text classification.

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

Neural Models for Key Phrase Detection and Question Generation

Implementation of the Character-level Intra Attention Network (CIAN) for Natural Language Inference (NLI) upon SNLI and MultiNLI corpus

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Code and data for ECML-PKDD paper "Social Influence Attentive Neural Network for Friend-Enhanced Recommendation"

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Code/Model release for NIPS 2017 paper "Attentional Pooling for Action Recognition"

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Code and resources on scalable and efficient Graph Neural Networks

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Code for "Distributed, Egocentric Representations of Graphs for Detecting Critical Structures" (ICML 2019)

Material for the EPFL master course "A Network Tour of Data Science", edition 2019.

Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Official PyTorch implementation of our IGARSS'22 paper: A Transformer-Based Siamese Network for Change Detection

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

Subgraph Neural Networks (NeurIPS 2020)

Visualization tool for Graph Neural Networks

organic chemistry reaction prediction using NMT with Attention

Demo of RouteNet in ACM SIGCOMM'19

Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch

TianChi AIEarth Contest Solution

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

Implementation of E(n)-Transformer, which extends the ideas of Welling's E(n)-Equivariant Graph Neural Network to attention

Disentagnled Graph Collaborative Filtering, SIGIR2020

Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning (authors' MXNet implementation for the TACL19 paper)

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

Its a social networking chat-bot trained on Reddit dataset . It supports open bounded queries developed on the concept of Neural Machine Translation. Beware of its being sarcastic just like its creator 😝 BDW it uses Pytorch framework and Python3.

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Chainer implementation of Deepmind's Visual Attention Model paper

Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch

Implementation of Axial attention - attending to multi-dimensional data efficiently

S2VT (seq2seq) video captioning with bahdanau & luong attention implementation in Tensorflow

Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"