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Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Care Gnn ⭐ 127

Code for CIKM 2020 paper Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

Graph Transformer Pytorch ⭐ 125

Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2

Graph Convolution On Structured Documents ⭐ 121

This repo contains code to convert Structured Documents to Graphs and implement a Graph Convolution Neural Network for node classification

Diff2vec ⭐ 116

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Disconet ⭐ 115

[NeurIPS2021] Learning Distilled Collaboration Graph for Multi-Agent Perception

Sat2graph ⭐ 112

Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding

Graph2vec_tf ⭐ 107

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

Gnn Meta Attack ⭐ 106

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

A Computation Graph Virtual Machine based ML Framework

Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Graph meta learning via local subgraphs (NeurIPS 2020)

Tutorial ⭐ 94

Tutorials on machine learning, artificial intelligence, data science with math explanation and reusable code (in python and R)

Kamalengine ⭐ 92

Knowledge Amalgamation Engine

Tigerlily ⭐ 90

TigerLily: Finding drug interactions in silico with the Graph.

Pgexplainer ⭐ 90

Parameterized Explainer for Graph Neural Network

Ai Paper Drawer ⭐ 88

人工智能论文关键点集结。This project aims to collect key points of AI papers.

Recursive Iterator ⭐ 87

It iterates through a graph recursively

Pytorch2c ⭐ 86

A Python module for compiling PyTorch graphs to C

Coperception ⭐ 86

An SDK for multi-agent collaborative perception.

Trajectron ⭐ 85

Code accompanying "The Trajectron: Probabilistic Multi-Agent Trajectory Modeling with Dynamic Spatiotemporal Graphs" by Boris Ivanovic and Marco Pavone.

Neuralogic ⭐ 84

Deep relational learning through differentiable logic programming.

Documentunderstanding ⭐ 82

Research papers and code on information extraction from image/pdf

Awesome Traffic Prediction ⭐ 78

Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.

Kg Reeval ⭐ 78

ACL 2020: A Re-evaluation of Knowledge Graph Completion Methods

Awesome Auto Graph Learning ⭐ 77

A paper collection about automated graph learning

Crystal Graph Neural Networks

En Fa Cs Dictionary ⭐ 75

💬 An English-Persian Dictionary of Computer Science and Artificial Intelligence

Signnet Basisnet ⭐ 71

SignNet and BasisNet

Gcn_keras ⭐ 71

图卷积神经网络 Graph Convolutional Network with Keras

Grape Book ⭐ 70

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

Graphneuralnetwork ⭐ 67

The learning of the GraphNeuralNetwork

Bipartite-network link prediction in Python

Know Evolve ⭐ 67

Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"

Ai Study ⭐ 63

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP

MatDGL is a neural network package that allows researchers to train custom models for crystal modeling tasks. It aims to accelerate the research and application of material science.

Sg Deep Question Generation ⭐ 61

This repository contains code and models for the paper: Semantic Graphs for Generating Deep Questions (ACL 2020).

Keras Deep Graph Learning ⭐ 59

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-g

Graph_2d_cnn ⭐ 59

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks'

Ngcf Pytorch ⭐ 57

PyTorch Implementation for Neural Graph Collaborative Filtering

Awesome Distribution Shift ⭐ 57

A curated list of papers and resources about the distribution shift in machine learning.

An alternative implementation of Recursive Feature and Role Extraction (KDD11 & KDD12)

Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".

A SciPy implementation of "GraRep: Learning Graph Representations with Global Structural Information" (WWW 2015).

TensorFlow implementation of Deep Graph Infomax

Blackbox Deep Graph Matching ⭐ 53

Repository for our paper: Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Tensorflow_advanced_tutorials ⭐ 52

Tensorflow의 고급스러운 사용을 위한 튜토리얼 입니다.

Semantic Image Manipulation using Scene Graphs (CVPR 2020)

Graph_distillation ⭐ 51

Graph Distillation for Action Detection

Graphml Class ⭐ 50

Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques

Osdi21_ae ⭐ 50

Artifact for OSDI'21 GNNAdvisor

Dgl_chinese_manual ⭐ 49

This is the Chinese manual of the graph neural network library DGL, currently contains the User Guide.

Utensor_cgen ⭐ 48

C++ code generator for uTensor https://utensor-cgen.readthedocs.io/en/latest/

Unsupervised learning of atomic scale dynamics from molecular dynamics.

Graphattack ⭐ 45

Computational graph library for machine learning

Handwritten Flowchart With Cnn ⭐ 45

Recognition of handwritten flowcharts using convolutional neural networks to generate C source code and reconstructed digital flowchart.

Adjacent Attention Network ⭐ 45

Graph neural network message passing reframed as a Transformer with local attention

Threatreportextractor ⭐ 44

Extracting Attack Behavior from Threat Reports

Graph Nvp ⭐ 44

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

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

Qualia2.0 ⭐ 41

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Tfgraphviz ⭐ 41

A visualization tool to show a TensorFlow's graph like TensorBoard

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

Regularized Graph CNN for Point Cloud Segmentation

Differentiable Idris ⭐ 39

dependent types meets deep learning

Hypergraph And Graph Neural Network Hgnn Gnn ⭐ 39

Many underlying relationships among data in several areas of science and engineering, e.g., computer vision, molecular chemistry, molecular biology, pattern recognition, and data mining, can be represented in terms of graphs. In this paper ,a new neural network model has propose which called graph neural network (GNN)

Locally Private Graph Neural Networks (ACM CCS 2021)

Proxygml ⭐ 37

Official PyTorch Implementation of ProxyGML Loss for Deep Metric Learning, NeurIPS 2020 (spotlight)

Gcnnmatch ⭐ 36

This repository is the official code implementation of the paper GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization.

Graph_neural_net ⭐ 36

Expressive Power of Invariant and Equivariant Graph Neural Networks (ICLR 2021)

Esoterictensorflow ⭐ 36

TensorFlow's graph is Turing complete.

Subgraph2vec_gensim ⭐ 36

Contains the code (and working vm setup) for our KDD MLG 2016 paper titled: "subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs"

Selftask Gnn ⭐ 35

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

Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning

Awesome Graph Pde ⭐ 34

Collection of resources about partial differential equations, graph neural networks, deep learning and dynamical system simulation

Domain Adaptation using External Knowledge for Sentiment Analysis

Deep Learning For Graph Representations ⭐ 34

This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

Ggnn.tensorflow ⭐ 33

Tensorflow implementation of Gated Graph Neural Network for Source Code Classification

Awesome Graph Embedding ⭐ 32

Awesome Graph Embedding Techinques

Serve TF models simple and easy as an HTTP API

Tensorboard for Caffe2

Geanet Biomed Event Extraction ⭐ 31

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

Awesome Medical Research ⭐ 31

Awesome list for deep learning on medical research

[ICLR 2022] Graph-Relational Domain Adaptation

Implementation of the paper 'Deep Learning of Graph Matching', CVPR 2018.

Multiagentperception ⭐ 30

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

Robust Gcn ⭐ 29

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

Tinydeeplearning ⭐ 28

a simple deep learning framework implemented from scratch using Python.

PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

Keras_to_tensorflow ⭐ 27

A tutorial on converting your keras models to tensorflow .pb format for inference

Malnet Graph ⭐ 27

A large-scale database for graph representation learning

Deepdrawing ⭐ 27

This is the released code for our IEEE VIS19 Paper "DeepDrawing: A Deep Learning Approach to Graph Drawing".

A Data-Driven Graph Generative Model for Temporal Interaction Networks

Deep Graph Mapper: Seeing Graphs through the Neural Lens

Ned Graphs ⭐ 24

Graph_saliency_maps ⭐ 24

Graph saliency maps through spectral convolutional networks for brain mapping

Mgg_osdi23 ⭐ 24

Artifact for OSDI'23: MGG: Accelerating Graph Neural Networks with Fine-grained intra-kernel Communication-Computation Pipelining on Multi-GPU Platforms.

Textcategorization ⭐ 23

⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.

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