This repository contains the source code for our Senior Capstone Project, a cornerstone of the Data Science major at UC San Diego.
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Updated
Mar 13, 2024 - Jupyter Notebook
This repository contains the source code for our Senior Capstone Project, a cornerstone of the Data Science major at UC San Diego.
An implementation of multi-view graph attention network
Course project of SJTU CS3319: Foundations of Data Science, 2023 spring
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Graph Attention Networks for Entity Summarization is the model that applies deep learning on graphs and ensemble learning on entity summarization tasks.
Gated-ViGAT. Code and data for our paper: N. Gkalelis, D. Daskalakis, V. Mezaris, "Gated-ViGAT: Efficient bottom-up event recognition and explanation using a new frame selection policy and gating mechanism", IEEE International Symposium on Multimedia (ISM), Naples, Italy, Dec. 2022.
Pytorch implementation of graph attention network
Bilateral Cross-Modality Graph Matching Attention for Feature Fusion in Visual Question Answering
异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch
Source code accompanying the paper "Reducing Over-smoothing in Graph Neural Networks Using Relational Embeddings" published in DLG-AAAI’23
This repository contain the unofficial implementation of the graph attention neural network.
The source codes for Fine-grained Fact Verification with Kernel Graph Attention Network.
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 histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
This repository hosts the scripts and some of the pre-trained models presented in out paper "ViGAT: Bottom-up event recognition and explanation in video using factorized graph attention network", IEEE Access, 2022.
The GitHub repository for the paper "Reinforcement Learning-based Dialogue Guided Event Extraction to Exploit Argument Relations"
GATor is a Graph Attention Network for object detection with relational reasoning
Dense and Sparse Implementation of GAT written by PyTorch
Graph Attention Networks (GATs)
A Drug Metabolite & Toxicity Property Predictor Based on Graph Neural Network
A deep learning library to rank protein complexes using graph neural networks
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