98 Open source projects that are alternatives of or similar to H-GCN

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

Visualization tool for Graph Neural Networks

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

Demo of RouteNet in ACM SIGCOMM'19

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

Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks

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

Disentagnled Graph Collaborative Filtering, SIGIR2020

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

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

The official code and datasets for "Zero-Shot Multi-View Indoor Localization via Graph Location Networks" (ACMMM 2020)

A distributed graph deep learning framework.

StellarGraph - Machine Learning on Graphs

Graph Neural Networks with Keras and Tensorflow 2.

Graph Neural Network Library for PyTorch

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

Python package built to ease deep learning on graph, on top of existing DL frameworks.

links to conference publications in graph-based deep learning

Implementation of Directional Graph Networks in PyTorch and DGL

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

Implementation of "Overlapping Community Detection with Graph Neural Networks"

Inductive relation prediction by subgraph reasoning, ICML'20

Graph-based Deep Q Network for Web Navigation

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

Combining relational context and relational paths for knowledge graph completion

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

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.

Implement of DiGCN, NeurIPS-2020

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).

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Combining relational context and relational paths for knowledge graph completion

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

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

ProteinGCN: Protein model quality assessment using Graph Convolutional Networks

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

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

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

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