336 Open source projects that are alternatives of or similar to Awesome Graph Classification

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

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).

Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"

A TensorFlow Implementation of the Transformer: Attention Is All You Need

🎬 Video Captioning: ICCV '15 paper implementation

Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

Friends Recommendation and Link Prediction in Social Netowork

Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch

End-to-end ASR/LM implementation with PyTorch

A reading list for deep graph learning acceleration.

一些不同的Attention机制代码

Profiling and Deanonymizing Ethereum Users

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Model Compression—YOLOv3 with multi lightweight backbones(ShuffleNetV2 HuaWei GhostNet), attention, prune and quantization

Implementation of the 😇 Attention layer from the paper, Scaling Local Self-Attention For Parameter Efficient Visual Backbones

A graph-based deep learning framework for life science

PyTorch Implementation of GraphTSNE, ICLR’19

Deep Attentive Features for Prostate Segmentation in 3D Transrectal Ultrasound

📃 **Unofficial** PyTorch Implementation of DA-RNN (arXiv:1704.02971)

a collection of visualization function

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Drug effect prediction using neural network

No description or website provided.

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Arbitrary Style Transfer with Style-Attentional Networks

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

ACL 2018: Dating Documents using Graph Convolution Networks

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

PyTorch Implementation of "Monotonic Chunkwise Attention" (ICLR 2018)

Multigrid Neural Architecture

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

This is the page for the book Digital Signal Processing with Kernel Methods.

Code for Graph Convolutional Matrix Factorization for Bipartite Edge Prediction

An original implementation of "3HAN: A Deep Neural Network for Fake News Detection" (ICONIP 2017)

codes for paper "Domain Attention Model for Multi-Domain Sentiment Classification"

Compare six baseline deep learning models on TrecQA

Classifying the Blur and Clear Images

Summary of open source code for deep learning models in the field of traffic prediction

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Pytorch

Deriving Neural Architectures from Sequence and Graph Kernels

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).

Pointer-generator reinforced seq2seq summarization in PyTorch

Code for Paper Abstract Writing through Editing Mechanism

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

No description or website provided.

A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).

PyTorch implementation of our paper "Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing" (NAACL19)

Python implementation of supervised PCA, supervised random projections, and their kernel counterparts.

Inductive relation prediction by subgraph reasoning, ICML'20

Python scripts for the textbook "Image Analysis, Classification and Change Detection in Remote Sensing, Fourth Revised Edition"