283 Open source projects that are alternatives of or similar to SBR

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

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

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Supervised community detection with line graph neural networks

[COLING 2020] Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

一套友好的、方便集成的针对cell的左滑编辑功能！

A PyTorch Implementation of "Attention Is All You Need"

PyTorch implementation of Lambda Network and pretrained Lambda-ResNet

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Predicting protein structure through sequence modeling

Implementation of paper "Self-supervised Learning on Graphs:Deep Insights and New Directions"

Representing Long-Range Context for Graph Neural Networks with Global Attention

A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering

采用深度学习方法进行刀具识别。

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

[IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"

Recalling node properties from a knowledge graph

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Probabilistic Type Inference using Graph Neural Networks

Graph-based machine learning for chemical property prediction

Smart Contract Vulnerability Detection Using Graph Neural Networks (IJCAI-20 Accepted)

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

NLP: Relation extraction with position-aware self-attention transformer

GemNet model in PyTorch, as proposed in "GemNet: Universal Directional Graph Neural Networks for Molecules" (NeurIPS 2021)

TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding (code & data)

An implementation of attention-based neural machine translation using Pytorch

This is a Pytorch implementation of GraphLIME

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

A spherical convolutional neural network for cosmology (TFv1).

Attention-based View Selection Networks for Light-field Disparity Estimation

Keras implementation of hierarchical attention network for document classification with options to predict and present attention weights on both word and sentence level.

Geometric Deep Learning for Flux

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

STAGIN: Spatio-Temporal Attention Graph Isomorphism Network

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (with an oral spotlight!) at ML4H Workshop, NeurIPS 2020.

Papers about explainability of GNNs

From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)

a collection of visualization function

Multi-head attention in PyTorch

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Image Captioning with Keras

Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)

Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper

matrix factorization in PyTorch

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Representation Learning on Graphs with Jumping Knowledge Networks

An End-to-End Machine Learning Library to Optimize AUC (AUROC, AUPRC).

JavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

Image captioning using attention models

[CVPR2020] "Detecting Attended Visual Targets in Video"

A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!