172 Open source projects that are alternatives of or similar to DOM-Q-NET

Supervised community detection with line graph neural networks

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

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

A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

Make it easy to specify simple MDPs that are compatible with the OpenAI Gym.

The implement of all kinds of dqn reinforcement learning with Pytorch

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

No description or website provided.

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

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

Papers about explainability of GNNs

Message Passing Neural Networks for Simplicial and Cell Complexes

⌛ Introducing Self-Attention to Target Attentive Graph Neural Networks (AISP '22)

Code for the paper 'An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem' (INFORMS Annual Meeting Session 2019)

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).

Q learning AI bot perceiving environment with CNN

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

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

Code for NAACL 2021 paper: MTAG: Modal-Temporal Attention Graph for Unaligned Human Multimodal Language Sequences

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.

In-browser reinforcement learning for flappy bird 🐦

Graph-based machine learning for chemical property prediction

Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

A reading list for deep graph learning acceleration.

A spherical convolutional neural network for cosmology (TFv1).

A curated list of awesome graph & self-supervised-learning-based recommendation.

Samples for TensorFlow binding for .NET by Lost Tech

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

Generic reinforcement learning codebase in TensorFlow

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

The code for the SRDQN algorithm to train an agent for the beer game problem

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

A model car learns driving along a track using reinforcement learning

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

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

This is a Pytorch implementation of GraphLIME

Kotlin implementation of algorithms, examples, and exercises from the Sutton and Barto: Reinforcement Learning (2nd Edition)

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

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

Proto-RL: Reinforcement Learning with Prototypical Representations

Source code and datasets for ACL 2020 paper: Neighborhood Matching Network for Entity Alignment.

Geometric Deep Learning for Flux

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

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

This demo is a C# port of ConvNetJS RLDemo (https://cs.stanford.edu/people/karpathy/convnetjs/demo/rldemo.html) by Andrej Karpathy

Probabilistic Type Inference using Graph Neural Networks

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

Representation Learning on Graphs with Jumping Knowledge Networks

A new codebase for Group Activity Recognition. It contains codes for ICCV 2021 paper: Spatio-Temporal Dynamic Inference Network for Group Activity Recognition and some other methods.

Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)

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

Run OpenAI Gym on a Server

Combining relational context and relational paths for knowledge graph completion

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

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Combining relational context and relational paths for knowledge graph completion

Implement of DiGCN, NeurIPS-2020

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

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