Pinned Repositories
context-aware-reasoning-for-sr
PyTorch implementation for our CVPR 2020 Paper "Attention-based Context Aware Reasoning for Situation Recognition"
deepGCFX
PyTorch implementation for our AAAI 2022 Paper "Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning"
allennlp
An open-source NLP research library, built on PyTorch.
api-import-export
This repository contains the source for API import and export tool for WSO2 API Manager
ban-vqa
Bilinear attention networks for visual question answering
benchmarking-gnns
Repository for benchmarking graph neural networks
bottom-up-attention
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Bottom-up-vqa
Copy of https://github.com/hengyuan-hu/bottom-up-attention-vqa
bpmn-project
thilinicooray's Repositories
thilinicooray/context-aware-reasoning-for-sr
PyTorch implementation for our CVPR 2020 Paper "Attention-based Context Aware Reasoning for Situation Recognition"
thilinicooray/deepGCFX
PyTorch implementation for our AAAI 2022 Paper "Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning"
thilinicooray/allennlp
An open-source NLP research library, built on PyTorch.
thilinicooray/benchmarking-gnns
Repository for benchmarking graph neural networks
thilinicooray/CARN
thilinicooray/DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
thilinicooray/DropEdge
This is a Pytorch implementation of paper: DropEdge: Towards Deep Graph Convolutional Networks on Node Classification
thilinicooray/DSA-Practice
Python use cases of data structures and algorithms
thilinicooray/gae-pytorch
Graph Auto-Encoder in PyTorch
thilinicooray/gae_in_pytorch
Graph Auto-Encoder in PyTorch
thilinicooray/GCC
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
thilinicooray/gnn-comparison
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
thilinicooray/Graph-Transformer
Transformer for Graph Classification (in Pytorch and Tensorflow)
thilinicooray/GraphCL
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
thilinicooray/GraphLoG
Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).
thilinicooray/InfoGraph
Code for ICLR paper "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization"
thilinicooray/jina
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data
thilinicooray/mvgrl
thilinicooray/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
thilinicooray/PairNorm
Source code for PairNorm (ICLR 2020)
thilinicooray/PhD-Thesis
thilinicooray/pyGAT
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
thilinicooray/pygcn
Graph Convolutional Networks in PyTorch
thilinicooray/pytorch_DGCNN
PyTorch implementation of DGCNN
thilinicooray/simple-search-engine
An implementation a simple search engine using elasticsearch and NLP
thilinicooray/Spectral-Clustering-with-Graph-Neural-Networks-for-Graph-Pooling
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
thilinicooray/swig
Situation With Groundings (SWiG) dataset and Joint Situation Localizer (JSL)
thilinicooray/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
thilinicooray/vilbert_beta
thilinicooray/VL-BERT
Code for the paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".