Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning

22 January 2018

Xiao-Ming Wu

Papers citing "Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning"

50 / 1,084 papers shown

Title
Uncertainty in Graph Neural Networks: A Survey Fangxin Wang Yuqing Liu Kay Liu Yibo Wang Sourav Medya Philip S. Yu AI4CE 48 8 0 11 Mar 2024
On the Topology Awareness and Generalization Performance of Graph Neural Networks Junwei Su Chuan Wu AI4CE 32 0 0 07 Mar 2024
Simplified PCNet with Robustness Bingheng Li Xuanting Xie Haoxiang Lei Ruiyi Fang Zhao Kang 37 5 0 06 Mar 2024
Provable Filter for Real-world Graph Clustering Xuanting Xie Erlin Pan Zhao Kang Wenyu Chen Bingheng Li GNN 39 2 0 06 Mar 2024
VQSynery: Robust Drug Synergy Prediction With Vector Quantization Mechanism Jiawei Wu Mingyuan Yan Dianbo Liu 37 2 0 05 Mar 2024
Decoupled Subgraph Federated Learning Javad Aliakbari Johan Ostman Alexandre Graell i Amat FedML 24 0 0 29 Feb 2024
Understanding Oversmoothing in Diffusion-Based GNNs From the Perspective of Operator Semigroup Theory Weichen Zhao Chenguang Wang Xinyan Wang Congying Han Tiande Guo Tianshu Yu 42 0 0 23 Feb 2024
A Microstructure-based Graph Neural Network for Accelerating Multiscale Simulations J. Storm I. Rocha F. P. Meer AI4CE 48 2 0 20 Feb 2024
Cell Graph Transformer for Nuclei Classification Wei Lou Guanbin Li Xiang Wan Haofeng Li ViT MedIm 53 4 0 20 Feb 2024
More Discriminative Sentence Embeddings via Semantic Graph Smoothing Chakib Fettal Lazhar Labiod M. Nadif 19 1 0 20 Feb 2024
SIBO: A Simple Booster for Parameter-Efficient Fine-Tuning Zhihao Wen Jie Zhang Yuan Fang MoE 34 3 0 19 Feb 2024
CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking Zian Su Xiangzhe Xu Ziyang Huang Zhuo Zhang Yapeng Ye Jianjun Huang Xiangyu Zhang OffRL 37 8 0 19 Feb 2024
COMET: Generating Commit Messages using Delta Graph Context Representation Abhinav Reddy Mandli Saurabhsingh Rajput Tushar Sharma 31 1 0 02 Feb 2024
Graph Transformers without Positional Encodings Ayush Garg 19 0 0 31 Jan 2024
PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model Abhinav Chakraborty Anirban Chatterjee Abhinandan Dalal 18 0 0 29 Jan 2024
DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations Jinlu Wang Jipeng Guo Yanfeng Sun Junbin Gao Shaofan Wang Yachao Yang Baocai Yin AI4CE 25 2 0 28 Jan 2024
LPNL: Scalable Link Prediction with Large Language Models Baolong Bi Shenghua Liu Yiwei Wang Lingrui Mei Xueqi Cheng LRM 32 6 0 24 Jan 2024
KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning Debjyoti Mondal Suraj Modi Subhadarshi Panda Rituraj Singh Godawari Sudhakar Rao LRM 23 37 0 23 Jan 2024
Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels Fali Wang Tianxiang Zhao Suhang Wang 21 9 0 18 Jan 2024
Understanding Heterophily for Graph Neural Networks Junfu Wang Yuanfang Guo Liang Yang Yun-an Wang 31 10 0 17 Jan 2024
Setting the Record Straight on Transformer Oversmoothing G. Dovonon M. Bronstein Matt J. Kusner 20 5 0 09 Jan 2024
GLISP: A Scalable GNN Learning System by Exploiting Inherent Structural Properties of Graphs Zhongshu Zhu Bin Jing Xiaopei Wan Zhizhen Liu Lei Liang Jun Zhou 19 2 0 06 Jan 2024
Graph Neural Networks for Tabular Data Learning: A Survey with Taxonomy and Directions Cheng-Te Li Yu-Che Tsai Chih-Yao Chen Jay Chiehen Liao LMTD AI4CE 33 7 0 04 Jan 2024
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction Zinuo You Zijian Shi Hongbo Bo John Cartlidge Li Zhang Yan Ge AIFin DiffM 20 2 0 03 Jan 2024
On the Expressive Power of Graph Neural Networks Ashwin Nalwade Kelly Marshall Axel Eladi Umang Sharma 19 0 0 03 Jan 2024
Graph Elimination Networks Shuo Wang Ge Cheng Yun Zhang AI4CE GNN 19 0 0 02 Jan 2024
Adaptive Message Passing: A General Framework to Mitigate Oversmoothing, Oversquashing, and Underreaching Federico Errica Henrik Christiansen Viktor Zaverkin Takashi Maruyama Mathias Niepert Francesco Alesiani 54 7 0 27 Dec 2023
NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu Ziyu Guan Wei Zhao Yaming Yang Long Jin 34 11 0 20 Dec 2023
When Graph Data Meets Multimodal: A New Paradigm for Graph Understanding and Reasoning Qihang Ai Jianwu Zhou Haiyun Jiang Lemao Liu Shuming Shi 15 1 0 16 Dec 2023
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention Yehjin Shin Jeongwhan Choi Hyowon Wi Noseong Park 38 30 0 16 Dec 2023
nuScenes Knowledge Graph -- A comprehensive semantic representation of traffic scenes for trajectory prediction Leon Mlodzian Zhigang Sun Hendrik Berkemeyer Sebastian Monka Zixu Wang Stefan Dietze Lavdim Halilaj J. Luettin 19 5 0 15 Dec 2023
Graph Neural Networks with Diverse Spectral Filtering Jingwei Guo Kaizhu Huang Xinping Yi Rui Zhang 56 12 0 14 Dec 2023
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification Bang Wu Xingliang Yuan Shuo Wang Qi Li Minhui Xue Shirui Pan 21 8 0 13 Dec 2023
HyPE-GT: where Graph Transformers meet Hyperbolic Positional Encodings Kushal Bose Swagatam Das 30 0 0 11 Dec 2023
Sparse but Strong: Crafting Adversarially Robust Graph Lottery Tickets Subhajit Dutta Chowdhury Zhiyu Ni Qingyuan Peng Souvik Kundu Pierluigi Nuzzo 34 3 0 11 Dec 2023
Multicoated and Folded Graph Neural Networks with Strong Lottery Tickets Jiale Yan Hiroaki Ito Ángel López García-Arias Yasuyuki Okoshi Hikari Otsuka Kazushi Kawamura Thiem Van Chu Masato Motomura 25 1 0 06 Dec 2023
A Review of Link Prediction Applications in Network Biology Ahmad F. Al Musawi Satyaki Roy Preetam Ghosh 11 1 0 03 Dec 2023
A Graph-Based Approach for Category-Agnostic Pose Estimation Or Hirschorn S. Avidan 21 10 0 29 Nov 2023
Propagate & Distill: Towards Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 21 1 0 29 Nov 2023
Syntactic Fusion: Enhancing Aspect-Level Sentiment Analysis Through Multi-Tree Graph Integration Jane Sunny Tom Padraig Roggie Terry Woods Ali 24 0 0 28 Nov 2023
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs Xingtong Yu Zhenghao Liu Yuan Fang Zemin Liu Sihong Chen Xinming Zhang 33 24 0 26 Nov 2023
Effective Structural Encodings via Local Curvature Profiles Lukas Fesser Melanie Weber 21 3 0 24 Nov 2023
Graph Neural Ordinary Differential Equations-based method for Collaborative Filtering Ke Xu Yuanjie Zhu Weizhi Zhang Philip S. Yu BDL GNN 21 4 0 21 Nov 2023
Unveiling the Unseen Potential of Graph Learning through MLPs: Effective Graph Learners Using Propagation-Embracing MLPs Yong-Min Shin Won-Yong Shin 11 1 0 20 Nov 2023
Benchmarking Machine Learning Models for Quantum Error Correction Yue Zhao 19 1 0 18 Nov 2023
Community-Aware Efficient Graph Contrastive Learning via Personalized Self-Training Yuecheng Li Yanming Hu Lele Fu Chuan Chen Lei Yang Zibin Zheng 16 3 0 18 Nov 2023
Higher-Order Expander Graph Propagation Thomas Christie Yu He 24 3 0 14 Nov 2023
Classification of developmental and brain disorders via graph convolutional aggregation Ibrahim Salim A. B. Hamza MedIm 13 11 0 13 Nov 2023
Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems Haojun Zhu Vikram Kapoor Priya Sharma GNN 19 0 0 10 Nov 2023
Mixture of Weak & Strong Experts on Graphs Hanqing Zeng Hanjia Lyu Diyi Hu Yinglong Xia Jiebo Luo 25 3 0 09 Nov 2023