137 Open source projects that are alternatives of or similar to Representation_Learning_on_Graphs_with_Jumping_Knowledge_Networks

This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.

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

Official implementation of MSR-GCN (ICCV2021 paper)

Implement of DiGCN, NeurIPS-2020

Locally Private Graph Neural Networks (ACM CCS 2021)

No description or website provided.

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

Official repository for the paper "Learning Local Neighboring Structure for Robust 3D Shape Representation"

Official repository for "GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition" (ICIP'21)

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

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

Transformer-based Dual Relation Graph for Multi-label Image Recognition. ICCV 2021

Message Passing Neural Networks for Simplicial and Cell Complexes

The implement of GNN based on Pytorch

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

Demo of RouteNet in ACM SIGCOMM'19

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

ACL 2018: Dating Documents using Graph Convolution Networks

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

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

Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)

深度学习入门教程, 优秀文章, Deep Learning Tutorial

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

Official PyTorch code of DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization (ICCV 2021 Oral).

Awesome Graph Self-Supervised Learning

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

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

A spherical convolutional neural network for cosmology (TFv1).

Graph Neural Networks with Keras and Tensorflow 2.

GalaXC: Graph Neural Networks with Labelwise Attention for Extreme Classification

Pytorch differentiable molecular dynamics

Papers about explainability of GNNs

Implementation of "Overlapping Community Detection with Graph Neural Networks"

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

Graph-based Deep Q Network for Web Navigation

RandomX OpenCL implementation

Combining relational context and relational paths for knowledge graph completion

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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.

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

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).

Visualization tool for Graph Neural Networks

Combining relational context and relational paths for knowledge graph completion

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

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

Smart contract vulnerability detection using graph neural network (DR-GCN).

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

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

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

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

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

A spherical CNN for weather forecasting

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

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

TypeDB-ML is the Machine Learning integrations library for TypeDB

[ICLR 2021] How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Code for reproducing results in GraphMix paper

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