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Predicting Hateful Discussions on Reddit using Graph Transformer
  Networks and Communal Context

Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context

10 January 2023
Liam Hebert
Lukasz Golab
R. Cohen
ArXiv (abs)PDFHTML

Papers citing "Predicting Hateful Discussions on Reddit using Graph Transformer Networks and Communal Context"

13 / 13 papers shown
Title
Do Transformers Really Perform Bad for Graph Representation?
Do Transformers Really Perform Bad for Graph Representation?
Chengxuan Ying
Tianle Cai
Shengjie Luo
Shuxin Zheng
Guolin Ke
Di He
Yanming Shen
Tie-Yan Liu
GNN
107
443
0
09 Jun 2021
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Binny Mathew
Punyajoy Saha
Seid Muhie Yimam
Chris Biemann
Pawan Goyal
Animesh Mukherjee
125
581
0
18 Dec 2020
Quantifying social organization and political polarization in online
  platforms
Quantifying social organization and political polarization in online platforms
Isaac Waller
Ashton Anderson
47
139
0
01 Oct 2020
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
Privacy-Aware Recommender Systems Challenge on Twitter's Home Timeline
Luca Belli
S. Ktena
Alykhan Tejani
A. Lung-Yut-Fong
Frank Portman
...
Gabriele Sottocornola
Walter Anelli
N. Andrade
Jessie J. Smith
Wenzhe Shi
AI4TS
65
12
0
28 Apr 2020
Attention Interpretability Across NLP Tasks
Attention Interpretability Across NLP Tasks
Shikhar Vashishth
Shyam Upadhyay
Gaurav Singh Tomar
Manaal Faruqui
XAIMILM
93
176
0
24 Sep 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DHGNN3DPC
244
4,368
0
06 Mar 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,229
0
11 Oct 2018
How Powerful are Graph Neural Networks?
How Powerful are Graph Neural Networks?
Keyulu Xu
Weihua Hu
J. Leskovec
Stefanie Jegelka
GNN
259
7,705
0
01 Oct 2018
FastGCN: Fast Learning with Graph Convolutional Networks via Importance
  Sampling
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling
Jie Chen
Tengfei Ma
Cao Xiao
GNN
149
1,517
0
30 Jan 2018
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
484
20,265
0
30 Oct 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
803
132,454
0
12 Jun 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
516
15,331
0
07 Jun 2017
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
679
29,183
0
09 Sep 2016
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