gat topic

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy...

gordicaleksa

Graph Neural Networks

Firyuza

[ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive Learning Method).

GraphSAINT

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

tech-srl

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

shenweichen

Multi-turn dialogue baselines written in PyTorch

gmftbyGMFTBY

PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"

alexmonti19

This is a PyTorch implementation of the GeniePath model in <GeniePath: Graph Neural Networks with Adaptive Receptive Paths> (https://arxiv.org/abs/1802.00910)

shuowang-ai

GNN方法和模型的Pytorch实现。Pytorch implementation of GNN.

quqixun

[NLPCC 2020] Sentence Constituent-Aware Aspect-Category Sentiment Analysis with Graph Attention Networks

l294265421