Qitong-Wang

HG2Vec

HG2Vec is a language model that learns word embeddings utilizing only dictionaries and thesauri. Our model reaches the state-of-art on multiple word similarity and relatedness benchmarks.

Directed-Graph-Transformers

Github Repository for Paper Directed Graph Transformers

ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

BertGCN

DataAnalytics2020_QitongWang

DIGRAC_Directed_Clustering

Official code for the LoG2022 paper -- DIGRAC: Digraph Clustering Based on Flow Imbalance.

digraph_transformer

disam_text_matching

EBEM

ExData_Plotting1

Plotting Assignment 1 for Exploratory Data Analysis

GameArchitectureFinalProject

GameDev1Project3

GCNH

Implementation of GCNH, a GNN for heterophilous graphs described in the paper "GCNH: A Simple Method For Representation Learning On Heterophilous Graphs", IJCNN 2023

graphtrans

Representing Long-Range Context for Graph Neural Networks with Global Attention

InductTGCN

MProBERT

Code and supplementary material to accompany the CoNLL 2020 Paper 'When is a bishop not like a rook? When it's like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationships, authors Gabriella Chronis and Katrin Erk

react-deploy

SAT

Official Pytorch code for Structure-Aware Transformer.

shuttletracker

Shuttle tracking for RPI.

text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

The-Writer-Is-Anxious

wsd-biencoders

Experiment code for the ACL 2020 paper "Moving Down the Long Tail of Word Sense Disambiguation with Gloss Informed Bi-encoders".