GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation

28 June 2019

Papers citing "GNN-FiLM: Graph Neural Networks with Feature-wise Linear Modulation"

19 / 19 papers shown

Title
Detecting Code Vulnerabilities with Heterogeneous GNN Training Yu Luo Weifeng Xu Dianxiang Xu 41 0 0 24 Feb 2025
Aggregate to Adapt: Node-Centric Aggregation for Multi-Source-Free Graph Domain Adaptation Zhen Zhang Bingsheng He 104 2 0 05 Feb 2025
NetDiff: Deep Graph Denoising Diffusion for Ad Hoc Network Topology Generation Félix Marcoccia C. Adjih P. Mühlethaler DiffM 16 0 0 09 Oct 2024
Graph Convolutional Neural Networks as Surrogate Models for Climate Simulation Kevin Potter Carianne Martinez Reina Pradhan Samantha Brozak Steven Sleder Lauren Wheeler AI4Cl AI4CE 15 0 0 19 Sep 2024
Improving global awareness of linkset predictions using Cross-Attentive Modulation tokens Félix Marcoccia C. Adjih P. Mühlethaler 36 0 0 28 May 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 50 7 0 27 Dec 2023
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models Mustafa Yasir John Palowitch Anton Tsitsulin Long Tran-Thanh Bryan Perozzi 11 6 0 17 Jul 2023
ColdNAS: Search to Modulate for User Cold-Start Recommendation Shiguang Wu Yaqing Wang Qinghe Jing Daxiang Dong Dejing Dou Quanming Yao 17 7 0 06 Jun 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 33 4 0 06 Apr 2023
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks Ryien Hosseini F. Simini Austin R. Clyde A. Ramanathan 13 5 0 04 Nov 2022
Shortest Path Networks for Graph Property Prediction Ralph Abboud Radoslav Dimitrov .Ismail .Ilkan Ceylan GNN 19 44 0 02 Jun 2022
High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing Nan Wu Hang Yang Yuan Xie Pan Li Cong Hao 15 51 0 18 Jan 2022
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation Mohsen Yavartanoo Shih-Hsuan Hung Reyhaneh Neshatavar Yue Zhang Kyoung Mu Lee 19 15 0 15 Oct 2021
3D Infomax improves GNNs for Molecular Property Prediction Hannes Stärk Dominique Beaini Gabriele Corso Prudencio Tossou Christian Dallago Stephan Günnemann Pietro Lió AI4CE 25 203 0 08 Oct 2021
Large-scale graph representation learning with very deep GNNs and self-supervision Ravichandra Addanki Peter W. Battaglia David Budden Andreea Deac Jonathan Godwin ... Wai Lok Sibon Li Alvaro Sanchez-Gonzalez Jacklynn Stott S. Thakoor Petar Velivcković SSL AI4CE 22 25 0 20 Jul 2021
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations Weihua Hu Muhammed Shuaibi Abhishek Das Siddharth Goyal Anuroop Sriram J. Leskovec Devi Parikh C. L. Zitnick GNN AI4CE 29 67 0 02 Mar 2021
On the Bottleneck of Graph Neural Networks and its Practical Implications Uri Alon Eran Yahav GNN 10 660 0 09 Jun 2020
Meta-Graph: Few Shot Link Prediction via Meta Learning A. Bose Ankit Jain Piero Molino William L. Hamilton 30 63 0 20 Dec 2019
Deep Object Co-segmentation via Spatial-Semantic Network Modulation Kaihua Zhang Jin Chen Bo Liu Qingshan Liu 16 40 0 29 Nov 2019