v1v2v3 (latest)

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

29 October 2021

Inderjit S Dhillon

Papers citing "Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction"

50 / 57 papers shown

Title
Optimality of Message-Passing Architectures for Sparse Graphs Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath 181 11 0 10 Jan 2025
MEG: Medical Knowledge-Augmented Large Language Models for Question Answering Laura Cabello Carmen Martin-Turrero Uchenna Akujuobi Anders Søgaard Carlos Bobed AI4MH 308 1 0 06 Nov 2024
Joint Graph Rewiring and Feature Denoising via Spectral Resonance Jonas Linkerhagner Cheng Shi Ivan Dokmanić 206 0 0 13 Aug 2024
Contextualized Messages Boost Graph Representations Brian Godwin Lim Galvin Brice Lim Renzo Roel Tan Kazushi Ikeda AI4CE 143 2 0 19 Mar 2024
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs Shengyin Sun Yuxiang Ren Chen Ma Xuecang Zhang 205 24 0 24 Nov 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning Jing Zhu Xiang Song V. Ioannidis Danai Koutra Christos Faloutsos 131 15 0 25 Sep 2023
Graph Attention Multi-Layer Perceptron Wentao Zhang Ziqi Yin Zeang Sheng Yang Li Wenbin Ouyang Xiaosen Li Yangyu Tao Zhi-Xin Yang Tengjiao Wang GNN AI4CE 78 106 0 09 Jun 2022
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification Jiong Zhang Wei-Cheng Chang Hsiang-Fu Yu Inderjit S. Dhillon 81 103 0 01 Oct 2021
Label Disentanglement in Partition-based Extreme Multilabel Classification Xuanqing Liu Wei-Cheng Chang Hsiang-Fu Yu Cho-Jui Hsieh Inderjit S. Dhillon 53 11 0 24 Jun 2021
Extreme Multi-label Learning for Semantic Matching in Product Search Wei-Cheng Chang Daniel Jiang Hsiang-Fu Yu C. Teo Jiong Zhang ... Qie Hu Nikhil Shandilya Vyacheslav Ievgrafov Japinder Singh Inderjit S. Dhillon 74 60 0 23 Jun 2021
Training Graph Neural Networks with 1000 Layers Guohao Li Matthias Muller Guohao Li V. Koltun GNN AI4CE 86 241 0 14 Jun 2021
Enabling Efficiency-Precision Trade-offs for Label Trees in Extreme Classification Tavor Z. Baharav Daniel Jiang K. Kolluri Sujay Sanghavi Inderjit S. Dhillon 34 4 0 01 Jun 2021
New Benchmarks for Learning on Non-Homophilous Graphs Derek Lim Xiuyu Li Felix Hohne Ser-Nam Lim 90 101 0 03 Apr 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 112 335 0 22 Feb 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath OODD 124 76 0 13 Feb 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification Ting Jiang Deqing Wang Leilei Sun Huayi Yang Zhengyang Zhao Fuzhen Zhuang VLM 171 139 0 09 Jan 2021
Session-Aware Query Auto-completion using Extreme Multi-label Ranking Nishant Yadav Rajat Sen Daniel N. Hill A. Mazumdar Inderjit S. Dhillon 50 11 0 09 Dec 2020
Combining Label Propagation and Simple Models Out-performs Graph Neural Networks Qian Huang Horace He Abhay Singh Ser-Nam Lim Austin R. Benson 91 283 0 27 Oct 2020
PECOS: Prediction for Enormous and Correlated Output Spaces Hsiang-Fu Yu Kai Zhong Jiong Zhang Wei-Cheng Chang Inderjit S. Dhillon 96 85 0 12 Oct 2020
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification Hui Ye Zhiyu Zoey Chen Da-han Wang Brian D. Davison VLM 45 51 0 05 Jul 2020
GPT-GNN: Generative Pre-Training of Graph Neural Networks Ziniu Hu Yuxiao Dong Kuansan Wang Kai-Wei Chang Yizhou Sun SSL AI4CE 158 564 0 27 Jun 2020
Adaptive Universal Generalized PageRank Graph Neural Network Eli Chien Jianhao Peng Pan Li O. Milenkovic 269 742 0 14 Jun 2020
Open Graph Benchmark: Datasets for Machine Learning on Graphs Weihua Hu Matthias Fey Marinka Zitnik Yuxiao Dong Hongyu Ren Bowen Liu Michele Catasta J. Leskovec 309 2,746 0 02 May 2020
Extreme Multi-label Classification from Aggregated Labels Yanyao Shen Hsiang-Fu Yu Sujay Sanghavi Inderjit Dhillon 49 8 0 01 Apr 2020
Geom-GCN: Geometric Graph Convolutional Networks Hongbin Pei Bingzhen Wei Kevin Chen-Chuan Chang Yu Lei Bo Yang GNN 328 1,124 0 13 Feb 2020
Pre-training Tasks for Embedding-based Large-scale Retrieval Wei-Cheng Chang Felix X. Yu Yin-Wen Chang Yiming Yang Sanjiv Kumar RALM 76 306 0 10 Feb 2020
Graph-Bert: Only Attention is Needed for Learning Graph Representations Jiawei Zhang Haopeng Zhang Congying Xia Li Sun 90 306 0 15 Jan 2020
Tensor Graph Convolutional Networks for Text Classification Xien Liu Xinxin You Xiao Zhang Ji Wu Ping Lv GNN 51 250 0 12 Jan 2020
GraphZoom: A multi-level spectral approach for accurate and scalable graph embedding Chenhui Deng Zhiqiang Zhao Yongyu Wang Zhiru Zhang Zhuo Feng 75 106 0 06 Oct 2019
Text Level Graph Neural Network for Text Classification Lianzhe Huang Dehong Ma Sujian Li Xiaodong Zhang Houfeng WANG GNN 92 263 0 06 Oct 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 686 24,557 0 26 Jul 2019
GraphSAINT: Graph Sampling Based Inductive Learning Method Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava Rajgopal Kannan Viktor Prasanna GNN 137 969 0 10 Jul 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang Zihang Dai Yiming Yang J. Carbonell Ruslan Salakhutdinov Quoc V. Le AI4CE 236 8,451 0 19 Jun 2019
Latent Retrieval for Weakly Supervised Open Domain Question Answering Kenton Lee Ming-Wei Chang Kristina Toutanova RALM 112 1,018 0 01 Jun 2019
Strategies for Pre-training Graph Neural Networks Weihua Hu Bowen Liu Joseph Gomes Marinka Zitnik Percy Liang Vijay S. Pande J. Leskovec SSL AI4CE 118 1,416 0 29 May 2019
Optimizing Generalized PageRank Methods for Seed-Expansion Community Detection Pan Li Eli Chien O. Milenkovic 72 68 0 26 May 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks Wei-Lin Chiang Xuanqing Liu Si Si Yang Li Samy Bengio Cho-Jui Hsieh GNN 150 1,275 0 20 May 2019
Scaling and Benchmarking Self-Supervised Visual Representation Learning Priya Goyal D. Mahajan Abhinav Gupta Ishan Misra SSL 75 397 0 03 May 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 239 4,364 0 06 Mar 2019
Simplifying Graph Convolutional Networks Felix Wu Tianyi Zhang Amauri Souza Christopher Fifty Tao Yu Kilian Q. Weinberger GNN 248 3,184 0 19 Feb 2019
Revisiting Self-Supervised Visual Representation Learning Alexander Kolesnikov Xiaohua Zhai Lucas Beyer SSL 164 716 0 25 Jan 2019
Self-Supervised Generalisation with Meta Auxiliary Learning Shikun Liu Andrew J. Davison Edward Johns SSL OOD 50 163 0 25 Jan 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 617 10,590 0 12 Dec 2018
AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification Rafael M. O. Cruz Zihan Zhang R. Sabourin Suyang Dai Hiroshi Mamitsuka Shanfeng Zhu VLM 73 252 0 01 Nov 2018
Predict then Propagate: Graph Neural Networks meet Personalized PageRank Johannes Klicpera Aleksandar Bojchevski Stephan Günnemann GNN 225 1,694 0 14 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,229 0 11 Oct 2018
Deep Graph Infomax Petar Velickovic W. Fedus William L. Hamilton Pietro Lio Yoshua Bengio R. Devon Hjelm GNN 130 2,396 0 27 Sep 2018
Graph Convolutional Networks for Text Classification Liang Yao Chengsheng Mao Yuan Luo GNN 95 1,828 0 15 Sep 2018
Contextual Stochastic Block Models Y. Deshpande Andrea Montanari Elchanan Mossel S. Sen 158 159 0 23 Jul 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 120 853 0 24 Feb 2018