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Abram's Projects

abram07 icon abram07

Config files for my GitHub profile.

ae-cnn icon ae-cnn

ICVGIP' 18 Oral Paper - Classification of thoracic diseases on ChestX-Ray14 dataset

anemone icon anemone

A PyTorch implementation of "ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning", CIKM-21

arga icon arga

This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].

asap icon asap

AAAI 2020 - ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

dgfraud icon dgfraud

A Deep Graph-based Toolbox for Fraud Detection

dgfraud-tf2 icon dgfraud-tf2

A Deep Graph-based Toolbox for Fraud Detection in TensorFlow 2.X

distant_supervision_nlg icon distant_supervision_nlg

Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.

evalne icon evalne

Source code for EvalNE, a Python library for evaluating Network Embedding methods.

gnnpapers icon gnnpapers

Must-read papers on graph neural networks (GNN)

merit icon merit

A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21

ogb icon ogb

Benchmark datasets, data loaders, and evaluators for graph machine learning

pytextrank icon pytextrank

Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

repetition-problem-nlg icon repetition-problem-nlg

Code for the paper "A Theoretical Analysis of the Repetition Problem in Text Generation" in AAAI 2021.

sl-gad icon sl-gad

A PyTorch implementation of "Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection", TKDE-21

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