AKGNN

The source code for Adaptive Kernel Graph Neural Network at AAAI2022.

Please cite our paper if you think our work is helpful to you:

@inproceedings{ju2022akgnn,
  title={Adaptive Kernel Graph Neural Network},
  author={Ju, Mingxuan and Hou, Shifu and Fan, Yujie and Zhao, Jianan and Ye, Yanfang and Zhao, Liang},
  booktitle={36th AAAI Conference on Artificial Intelligence (AAAI)},
  year={2022}
}

Requirements

Python 3.8.3
Please install other pakeages by pip install -r requirement.txt

Usage Example

Running on Cora: python train_cora.py
Running on Citeseer: python train_citeseer.py
Running on Pubmed: python train_pubmed.py

Results

Our model achieves the following accuracies on Cora, CiteSeer and Pubmed with the public splits:

Model name	Cora	CiteSeer	Pubmed
AKGNN	84.8%	73.5%	80.4%

Running Environment

The experimental results reported in paper are conducted on a single NVIDIA GeForce RTX 2080 Ti with CUDA 11.1, which might be slightly inconsistent with the results induced by other platforms.

The source code for Adaptive Kernel Graph Neural Network at AAAI2022

Related tags

Overview

AKGNN

Requirements

Usage Example

Results

Running Environment

Owner

unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier"

On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification

Code corresponding to The Introspective Agent: Interdependence of Strategy, Physiology, and Sensing for Embodied Agents

[CVPR'22] COAP: Learning Compositional Occupancy of People

[RSS 2021] An End-to-End Differentiable Framework for Contact-Aware Robot Design

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

SegNet model implemented using keras framework

Graph Self-Attention Network for Learning Spatial-Temporal Interaction Representation in Autonomous Driving

A Unified Generative Framework for Various NER Subtasks.

deep-table implements various state-of-the-art deep learning and self-supervised learning algorithms for tabular data using PyTorch.

This is the paddle code for SeBoW(Self-Born wiring for neural trees), a kind of neural tree born form a large search space

Fuzzing JavaScript Engines with Aspect-preserving Mutation

Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection

Camview - A CLI-tool used to stream CCTV online footage based on URL params

Planar Prior Assisted PatchMatch Multi-View Stereo

StackNet is a computational, scalable and analytical Meta modelling framework

Multimodal Co-Attention Transformer (MCAT) for Survival Prediction in Gigapixel Whole Slide Images

Implementation of "Learning to Match Features with Seeded Graph Matching Network" ICCV2021

Python script that allows you to automatically setup your Growtopia server.

Neural implicit reconstruction experiments for the Vector Neuron paper