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GREED: A Neural Framework for Learning Graph Distance Functions

GREED: A Neural Framework for Learning Graph Distance Functions

24 December 2021
Rishab Ranjan
Siddharth Grover
Sourav Medya
Venkatesan T. Chakaravarthy
Yogish Sabharwal
Sayan Ranu
    GNN
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Papers citing "GREED: A Neural Framework for Learning Graph Distance Functions"

16 / 16 papers shown
Title
Flexible Graph Similarity Computation With A Proactive Optimization Strategy
Flexible Graph Similarity Computation With A Proactive Optimization Strategy
Zhouyang Liu
Ning Liu
Yixin Chen
Jiezhong He
Dongsheng Li
34
0
0
09 Apr 2025
Few-shot Metric Domain Adaptation: Practical Learning Strategies for an
  Automated Plant Disease Diagnosis
Few-shot Metric Domain Adaptation: Practical Learning Strategies for an Automated Plant Disease Diagnosis
Shoma Kudo
S. Kagiwada
Hitoshi Iyatomi
21
0
0
25 Dec 2024
Graph Edit Distance with General Costs Using Neural Set Divergence
Graph Edit Distance with General Costs Using Neural Set Divergence
Eeshaan Jain
Indradyumna Roy
Saswat Meher
Soumen Chakrabarti
A. De
32
3
0
26 Sep 2024
Design Requirements for Human-Centered Graph Neural Network Explanations
Design Requirements for Human-Centered Graph Neural Network Explanations
Pantea Habibi
Peyman Baghershahi
Sourav Medya
Debaleena Chattopadhyay
35
1
0
11 May 2024
Solving the Tree Containment Problem Using Graph Neural Networks
Solving the Tree Containment Problem Using Graph Neural Networks
A. Dushatskiy
Esther Julien
Leen Stougie
L. Iersel
42
0
0
15 Apr 2024
EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance with Generalized Edit Costs
EUGENE: Explainable Unsupervised Approximation of Graph Edit Distance with Generalized Edit Costs
Aditya Bommakanti
Harshith Reddy Vonteri
Sayan Ranu
Panagiotis Karras
27
0
0
08 Feb 2024
MATA*: Combining Learnable Node Matching with A* Algorithm for
  Approximate Graph Edit Distance Computation
MATA*: Combining Learnable Node Matching with A* Algorithm for Approximate Graph Edit Distance Computation
Junfeng Liu
Min Zhou
Shuai Ma
Lujia Pan
31
9
0
04 Nov 2023
NeuroCUT: A Neural Approach for Robust Graph Partitioning
NeuroCUT: A Neural Approach for Robust Graph Partitioning
Rishi Shah
Krishnanshu Jain
S. Manchanda
Sourav Medya
Sayan Ranu
15
1
0
18 Oct 2023
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers
  through In-depth Benchmarking
GNNX-BENCH: Unravelling the Utility of Perturbation-based GNN Explainers through In-depth Benchmarking
Mert Kosan
S. Verma
Burouj Armgaan
Khushbu Pahwa
Ambuj K. Singh
Sourav Medya
Sayan Ranu
29
13
0
03 Oct 2023
Graph Edit Distance Learning via Different Attention
Graph Edit Distance Learning via Different Attention
Jiaxi Lv
L. Zhang
Yi Huang
Jiancheng Huang
Shifeng Chen
21
1
0
26 Aug 2023
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
GRAFENNE: Learning on Graphs with Heterogeneous and Dynamic Feature Sets
Shubham Gupta
S. Manchanda
Sayan Ranu
Srikanta J. Bedathur
22
7
0
06 Jun 2023
A Survey on Explainability of Graph Neural Networks
A Survey on Explainability of Graph Neural Networks
Jaykumar Kakkad
Jaspal Jannu
Kartik Sharma
Charu C. Aggarwal
Sourav Medya
28
23
0
02 Jun 2023
Global Counterfactual Explainer for Graph Neural Networks
Global Counterfactual Explainer for Graph Neural Networks
Mert Kosan
Zexi Huang
Sourav Medya
Sayan Ranu
Ambuj K. Singh
26
47
0
21 Oct 2022
A Solver-Free Framework for Scalable Learning in Neural ILP
  Architectures
A Solver-Free Framework for Scalable Learning in Neural ILP Architectures
Yatin Nandwani
Rishabh Ranjan
Mausam
Parag Singla
27
7
0
17 Oct 2022
Lifelong Learning for Neural powered Mixed Integer Programming
Lifelong Learning for Neural powered Mixed Integer Programming
S. Manchanda
Sayan Ranu
CLL
25
1
0
24 Aug 2022
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Task and Model Agnostic Adversarial Attack on Graph Neural Networks
Kartik Sharma
S. Verma
Sourav Medya
Arnab Bhattacharya
Sayan Ranu
AAML
21
8
0
25 Dec 2021
1